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This document contains few references in Video Understanding (in 2007) organized by teams

REFERENCES 2007

I. LEEDS..................................................................................................................2II. HAMBURG..........................................................................................................2III. USC.......................................................................................................................3IV. GATECH..............................................................................................................3V. UCF.......................................................................................................................3VI. READING............................................................................................................5VII. KINGSTON..........................................................................................................5VIII. PRIMA..................................................................................................................7IX. EDINBOURG.......................................................................................................8X. MIT (Pentland).....................................................................................................9XI. MARYLAND (Larry Davis)................................................................................9XII. MARYLAND (Chellapa)...................................................................................10XIII. LIEGE (Piater)....................................................................................................11XIV. QUEEN MARY (Gong Shaogang)....................................................................12XV. QUEEN MARY (Cavallaro Andrea)..................................................................12XVI. SUSSEX (Hilary Buxton)...................................................................................14XVII. MODEM (Cucchiara Rita).................................................................................14XVIII. Foresti Gian Luca...............................................................................................15XIX. MULTITEL (Delaigle).......................................................................................16XX. TAIWAN............................................................................................................17XXI. PETS 2006..........................................................................................................17XXII. EPFL (Pascal Fua)..............................................................................................18XXIII. IDIAP (Gatica)....................................................................................................19XXIV. ENSMP - CMM (Serge Beucher).......................................................................19XXV. IRISA (Bouthemy & Laptev).............................................................................19XXVI. INRIA-ALPES....................................................................................................20XXVII. Politecnico di Milano, Italy................................................................................20XXVIII. Other LABs.........................................................................................................21

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I. LEEDS

1. H. Dee and D. Hogg, Navigational Strategies and Surveillance, Sixth IEEE international workshop on visual surveillance (VS2006), Graz, Austria, 2006.

2. A. G. Cohn, D. C. Hogg, B. Bennett, V. Devin, A. Galata, D. R. Magee, C. Needham, and P. Santos, Cognitive Vision: Integrating Symbolic Qualitative Representations with Computer Vision, in Cognitive Vision Systems: Sampling the Spectrum of Approaches, Lecture Notes in Computer Science, H. I. Christensen and H.-H. Nagel, Eds., 3948 ed. Berlin Heidelberg: Springer, 2006, pp. 221-246.

3. D. C. Hogg, A. G. Cohn, V. Devin, D. Magee, C. Needham, and P. Santos, Learning about objects and activities, 24th Leeds Annual Statistical Research (LASR) Workshop, Leeds, 2005.

4. H. M. Dee and D. C. Hogg, On the feasibility of using a cognitive model to filter surveillance data, IEEE International Conference on Advanced Video and Signal-Based Surveillance, Como, Italy, 2005.

5. C. J. Needham, P. E. Santos, D. R. Magee, V. Devin, D. C. Hogg, and A. G. Cohn, Protocols from Perceptual Observations, Artificial Intelligence, 167(1-2), 103-136, 2005.

6. Hannah M. Dee, David C. Hogg. On The Feasibility Of Using A Cognitive Model To Filter Surveillance Data. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

7. A. Galata, N. Johnson, and D. Hogg. Learning variable length markov models of behaviour. Computer Vision and Image Understanding, 81(3):398–413, 2001.

II. HAMBURG

8. B. Neumann, R. Möller. On Scene Interpretation with Description Logics. FBI-B-257/04, Fachbereich Informatik, Universität Hamburg, 2004.

9. B. Neumann, T. Weiss. Navigating through logic-based scene models for high-level scene interpretations, 3rd International Conference on Computer Vision Systems - ICVS 2003, Springer, 2003 , 212-222.

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III. USC

10. R. Nevatia, S. Hongeng, and F. Bremond, "Video-based event recognition: activity representation and probabilistic recognition methods", CVIU, Vol. 96, No. 2, pp. 129-162, November 2004.

11. T. Zhao and R. Nevatia, "Tracking multiple humans in crowded environment", Computer Vision and Pattern Recognition, Vol. II: 406-413, 2004.

12. R. Nevatia, J. Hobbs and B. Bolles, "An Ontology for Video Event Representation", IEEE Workshop on Event Detection and Recognition, June 2004.

IV. Georgia.TECH

13. Pinhanez, C. and A. Bobick, “Interval Scripts: a Programming Paradigm for Interactive Environments and Agents” Pervasive and Ubiquitous Computing 7(1), 2003, 1-21.

14. Wilson,A., and A.. Bobick, “Hidden Markov Models for Modeling and Recognizing Gesture Under Variation”, Int’l J. of Pattern Recognition and Artificial Intelligence 15(1): 123-160 (2001).

15. Sun, J., J.M. Rehg, and A. Bobick, “Automatic Cascade Training with Perturbation Bias,” Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, June, 2004.

16. Y. Shi, Y. Huang, D. Minnen, A. Bobick, and I. Essa, “Propagation Networks for recognition of partially ordered sequential action”, Proceedings of IEEE Computer Vision and Pattern Recognition (CVPR 2004), Washington, DC, June, 2004.

17. Y. Ivanov and A. Bobick. Recognition of visual activities and interactions by stochastic parsing. IEEE Trans. Patt. Anal. Mach. Intell., 22(8):852–872, 2000.

V. UCF

Books

18. Video Registration. Mubarak Shah and Rakesh Kumar, Kluwer Academic Publishers, 2003.

(Video Registration (The International Series in Video Computing) (Hardcover) by Mubarak Shah (Editor), Rakesh Kumar (Editor) "The increased availability of

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low-cost low- power, highly accurate video imagery has resulted in a rapid growth of the applications for this data...").

19. Visual Event Detection. Niels Haering and Niels da Vitoria Lobo, July 2001.

20. Analyzing Video Sequences of Multiple Humans. Jun Ohya, Akira Utsumi, and Junjo Yamato, March 2002.

21. Content-Based Image and Video Retrieval. Xian Sean Zhu and Thomas Huang, August 2003.

22. Video Mining Techniques. Editors: Azriel Rosenfeld, Daniel DeMenthon, and David Doermann, July 2003.

23. International Book Series on Video Computing, Kluwer Academic Publishers. Series Editor: Mubarak Shah.

24. Multimodal Video Characterization and Summarization. Michael A. Smith and Takeo Kanade, October, 2004.

Book Chapters

25. Abhijit Mahalanobis, Mubarak Shah, and Alan van Nevel, Information Processing across Distributed and Netted Systems for Security and Surveillance, Optical Imaging, Photonics, Sensors, and Systems for Homeland Security edited by Bahram Javidi, Springer, 2004.

26. Zeeshan Rasheed and Mubarak Shah, Video Categorization using Semantics and Semiotics, Video Mining Techniques, Editors: Azriel Rosenfeld, Daniel DeMenthon, and David Doermann, Kluwer Academic Publishers, 2003.

27. Mubarak Shah and Rakesh Kumar, Video Registration: A Perspective, Video Registration, Kluwer Academic Publishers, 2003.

Journals

28. Zeeshan Rasheed and Mubarak Shah, "Detection and Representation of Scenes in Videos", IEEE Transactions on Multimedia, Vol. 7, No.6, December 2005.

29. Paul Smith, Mubarak Shah, and Niels da Vitoria Lobo, , "Integrating Multiple Levels of Zoom to Enable Activity Recognition", Computer Vision and Image Understanding, submitted in August, 2004; received first review February 2005.

30. Khurram Shafique, Asaad Hakeem and Mubarak Shah, An Object-based Video Coding Framework for Video Sequences Obtained From Static Cameras, IEEE Transactions on Circuit and Systems for Video Technology.

31. Arslan Basharat, Asaad Hakeem, Mubarak Shah, and Abhijit Mahalanobis, Automatic Target Detection and Recognition in Video Sensor Network with Stationary and Mobile Nodes, OE Magazine, Member Publication of SPIE, November 2005.

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32. Yaser Sheikh and Mubarak Shah, Bayesian Modelling of Dynamic Scenes for Object Detection, IEEE Transactions on PAMI, October 2005.

33. Mubarak Shah, "Understanding Human Behavior from Motion Imagery", Machine Vision and Applications Journal, Vol. 14, pp. 210-214, September 2003.

34. Douglas Ayers and Mubarak Shah, Monitoring Human Behavior from Video Taken in an Office Environment, Image and Vision Computing, Vol. 19, Issue 12, 1, pp. 833-846, October 2001.

Conferences

35. Yun Zhai, Mubarak Shah, Visual Attention Detection in Video Sequences Using Spatiotemporal Cues, ACM MM 2006, Santa Barbara, CA, USA.

36. Humera Noor, Shahid H. Mirza,Yaser Sheikh, Amit Jain, Mubarak Shah, Model Generation for Video based Object Recognition, ACM MM 2006, Santa Barbara, CA, USA.

VI. READING

37. M Borg, D J Thirde, J M Ferryman, K D Baker, J Aguilera, M Kampel : "Evaluation of Object Tracking for Aircraft Activity Surveillance", The Second Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS 2005) in Beijing, China on the 15th to 16th of October (2005).

38. J M Ferryman, S Maybank, A Worrall : "Visual Surveillance for Moving Vehicles", International Journal of Computer Vision, 37(2), pp-187-197, June (2000).

VII. KINGSTONG.A. Jones

Journals

39. P. Remagnino, G.A. Jones, N. Paragios, C.S. Regazzoni, Editors, "Video-Based Surveillance Systems - Computer Vision and Distributed Processing" Kluwer Academic Publishers, ISBN/ISSN 0-7923-7632-3 (2002).

40. D. Greenhill, J.R. Renno, J. Orwell, G.A. Jones, "Learning the Semantic Landscape: Embedding scene knowledge in object tracking" in 'Real Time Imaging', Special Issue on Video Object Processing 11, pp. 186-203. (2005).

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41. P. Remagnino, A.I. Shihab, G.A. Jones, "Distributed Intelligence for Multi-Camera Visual Surveillance" in 'Pattern Recognition', Special Issue on Agent-based Computer Vision 37(4) Elsevier, April, pp. 675-689. ISBN/ISSN 0031-3203 (2004).

42. J.R. Renno, P. Remagnino, G.A. Jones, "Learning Surveillance Tracking Models for the Self-Calibrated Ground Plane" in 'Acta Automatica Sinica', Special Issue on Visual Surveillance of Dynamic Sc 29(3) pp. 381-392. (2003).

43. P. Viola and M.J. Jones. Robust real-time face detection. Int. J. of Comp. Vision, 57(2):137–154, 2004.

Book Chapters

44. J.R. Renno, P. Remagnino, G.A. Jones, Chapter "Learning the Fusion of Video Data Streams: Automatic Calibration and Registration of Surveillance Cameras" in 'Multisensor Surveillance Systems - The Fusion Perspective', Edited by Gian Luca Foresti, Carlo Regazzoni and Pramod Varshney, Kluwer Academic Press, pp. 61-80. (2003).

45. D. Greenhill, P. Remagnino, G.A. Jones, Chapter "VIGILANT: Content-Querying of Video Surveillance Streams" in 'Video Based Surveillance Systems - Computer Vision and Distributed Processing', Edited by P. Remagnino, G.A. Jones, N. Paragios and C. Regazzoni, Kluwer Academic Publishers, pp. 193-204. ISBN/ISSN 0-7923-7632-3 (2002).

46. P. Remagnino, J. Orwell, D. Greenhill, G.A. Jones, L. Marchesotti, Chapter "An Agent Society For Scene Interpretation" in 'Multimedia Video Based Surveillance Systems: Requirements, Issues and Solutions', Edited by G. Foresti, P.Mahonen and C.S.Regazzoni, Kluwer Academic Publishers, pp. 108-117. ISBN/ISSN 0-7923-7927-6 (2001).

47. N. Lazarevic-McManus, J.R. Renno, D. Makris, G.A. Jones, "Designing Evaluation Methodologies: the case of motion detection", Ninth IEEE International Workshop on Performance Evaluation of Tracking and Surveillance, (Invited Talk), June 18, New York, (2006).

Velastin

Book

48. 1.S.A. Velastin, P. Remagnino, Editors, "Intelligent Distributed Surveillance Systems" The Institution of Electrical Engineers (IEE), ISBN/ISSN 0-86341-504-0 (2005).

Journals

49. 2.P. Remagnino, N.D. Monekosso, S.A. Velastin, "Ambient Intelligence" in 'Journal of Japan Society for Fuzzy Theory and', 18(1) February, pp. 67. (2006).

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50. S.A. Velastin, BA Boghossian, MA Vicencio-Silva, "A motion-based image processing system for detecting potentially dangerous situations in underground railway stations" in 'Transportation Research Part C: Emerging Technologies', 14(2) Elsevier, April, pp. 96-113. (2006).

51. S.A. Velastin, BA Boghossian, B Lo, J. Sun, MA Vicencio-Silva, "PRISMATICA: Toward Ambient Intelligence in Public Transport Environments" in 'IEEE Transactions on Systems, Man, and Cybernetics - Part A', 35(1) IEE, January, pp. 164-182. (2005).

52. M. Valera Espina, S.A. Velastin, "Intelligent distributed surveillance systems: A Review" in 'IEE Proceedings - Vision, Image and Signal Processing', 152(2) IEE, April 2005, pp. 192-204. ISBN/ISSN 1350-245X (2005).

53. L.M. Fuentes, S.A. Velastin, "Tracking-based event detection for CCTV systems" in 'Pattern Analysis and Applications', 7(4) Springer, ISBN/ISSN 1433-755X (2005).

54. A.C. Davies, S.A. Velastin, "Progress in computational intelligence to support CCTV surveillance systems" in 'International Scientific Journal of Computing', 4(3) pp. 76-84. ISBN/ISSN 1727-6209 (2005).

55. S.A. Velastin, B Lo, J. Sun, "A flexible communications protocol for a distributed surveillance system" in 'Journal of Network and Computer Applications', 27(4) Elsevier, pp. 221-253. (2004).

Book Chapters

56. P. Remagnino, H Hagras, N.D. Monekosso, S.A. Velastin, Chapter "Ambient Intelligence a gentle introduction" in 'Ambient Intelligence a Novel Approach', Edited by Remagnino, Paolo; Foresti, Gian Luca; Ellis, Tim, Springer, ISBN/ISSN 0-387-22990-6 (2005).

VIII. PRIMA

Book Chapter

57. J. L. Crowley, "Things that See: Context-Aware Multi-modal Interaction", in "Cognitive Vision Systems", Edited by H. H. Nagel, Springer Verlag, March 2006.

Journals.

58. James L. Crowley, "Situation Models for Observing Human Activity" ACM Queue Magazine, May 2006.

59. J. Coutaz, J. L. Crowley, S. Dobson, and D. Garlan, "Context is Key", Communications of the ACM, Special issue on the Disappearing Computer, Vol 48, No 3, pp 49-53 March 2005.

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60. D. Hall, F. Pelisson, O. Riff, J. L. Crowley, "Brand Identification Using Gaussian Derivative Histograms", Machine Vision and Applications, in Machine Vision and Applications, Vol 16, No. 1, pp 41-46, 2004.

Conferences

61. O. Brdiczka, J. Maisonnasse, P. Reignier, J.L. Crowley, "Extracting Activities from Multimodal Observation", KES2006 10th International Conference on Knowledge-Based Intelligent Information and Engineering Systems, Bournemouth, UK., October 2006.

62. J. L. Crowley, O. Brdiczka, and P. Reignier. "Learning Situation Models for Understanding Activity", 5th International Conference on Development and Learning 2006 (ICDL06), Bloomington, Il., USA, June 2006.

63. S. Zaidenberg, O. Brdiczka, P. Reignier, and J.L. Crowley. "Learning context models for the recognition of scenarios". In 3rd IFIP Conference on Artificial Intelligence Applications and Innovations (AIAI) 2006, Athens, Greece, June 2006.

64. S. Zaidenberg, O. Brdiczka, P. Reignier, and J.L. Crowley. Learning context models for the recognition of scenarios. In 3rd IFIP Conference on Artificial Intelligence Applications & Innovations (AIAI) 2006, Athens, Greece, June 2006.

65. N. Gourier, J. Maisonnasse, D. Hall, J.L. Crowley "Head Pose Estimation on Low Resolution Images In CLEAR '06", Classification of Events, Activities and Relationships, South Hampton, UK, April 2006.

66. O. Brdiczka, P. Reignier, J. L. Crowley, D. Vaufreydaz, and J. Maisonnasse, "Deterministic and probabilistic implementation of context", In Proceedings of IEEE International Conference on Pervasive Computing and Communications, March 2006.

67. D. Hall, R. Emonet, and J. L. Crowley, "An automatic approach for parameter selection in self-adaptive tracking." In International Conference on Computer Vision Theory and Applications (VISAPP), Setubal, Portugal, Feb. 2006.

IX. EDINBOURG

68. E. Andrade, S. Blunsden, R. Fisher. "Performance Analysis of Event Detection Models in Crowded Scenes", Proc. Workshop on "Towards Robust Visual Surveillance Techniques and Systems" at Visual Information Engineering 2006, Bangalore, India, pp 427-432, Sept 2006.

69. E. L. Andrade, S. Blunsden, R. B. Fisher. "Modelling Crowd Scenes for Event Detection", Proc. Int. Conf. on Pat. Recog., pp ***-***, Hong Kong, Aug. 2006 (copyright IEEE).

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70. E. L. Andrade, S. Blunsden, R. B. Fisher. "Hidden Markov Models for Optical Flow Analysis in Crowds", Proc. Int. Conf. on Pat. Recog., pp ***-***, Hong Kong, Aug. 2006 (copyright IEEE).

71. E. Andrade, S. Blunsden, R. Fisher. "Detection of Emergency Events in Crowded Scenes", IEE Int. Symp. on Imaging for Crime Detection and Prevention (ICDP 2006), London, pp pp 528-533, 2006.

72. S. Blunsden, R. Fisher. "Recognition of coordinated multi agent activities: the individual vs the group", Proc. Workshop on Computer Vision Based Analysis in Sport Environments (CVBASE), pp 61-70, 2006.

73. E. Andrade, S. Blunsden, R. Fisher. "Simulation of Crowd Problems for Computer Vision", First International Workshop on Crowd Simulation (V-CROWDS '05), pp 71-80, Lausanne, Nov 2005.

74. D. Hall, J. Nascimento, P. Ribeiro, E. Andrade, P. Moreno, S. Pesnel, T. List, R. Emonet, R. B. Fisher, J. Santos-Victor and J. L. Crowley, "Comparison of target detection algorithms using adaptive background models", Proc. 2nd Joint IEEE Int. Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance, (VS-PETS), pp 113-120, Beijing, Oct 2005.

X. MIT (Pentland)

75. Human Activity Recognition: Accuracy across Common Locations for Wearable Sensors (October 2006). Daniel Olguin Olguin and Alex (Sandy) Pentland. 10th International Symposium on Wearable Computing (Student Colloquium), Montreux, Switzerland.

76. Multi-sensor Data Fusion Using the Influence Model (April 2006). Wen Dong and Alex Pentland. To appear in: Body Sensor Networks Workshop, April 2006, Boston, MA.

XI. MARYLAND (Larry Davis)

77. Larry S Davis, David Harwood, Vinay D Shet. Vidmap: Video Monitoring Of Activity With Prolog. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

(With Mittal)

Journals

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78. M2Tracker: A Multi-View Approach to Segmenting and Tracking People in a Cluttered Scene. Anurag Mittal and Larry S. Davis. International Journal of Computer Vision (IJCV). Vol. 51 (3), Feb/March 2003.

79. Fast Illumination-invariant Background Subtraction Using Two Views: Error Analysis, Sensor Placement and Applications. Ser-Nam Lim, Anurag Mittal, Larry S. Davis and Nikos Paragios. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Diego, CA, June 2005.

80. Motion-Based Background Subtraction using Adaptive Kernel Density Estimation. Anurag Mittal and Nikos Paragios. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington, DC, July 2004.

81. Background Modeling and Subtraction of Dynamic Scenes. Antoine Monnet, Anurag Mittal, Nikos Paragios and Visvanathan Ramesh. IEEE International Conference on Computer Vision (ICCV), Nice, France, Oct 2003.

82. Human Body pose Estimation by Shape Analysis of Silhouettes. Anurag Mittal, Liang Zhao and Larry Davis. IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS), Orlando, Florida, July 2003.

83. Site Modeling for Wide Area Surveillance and Image Synthesis. Anurag Mittal and Dan Huttenlocher. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head, South Carolina, June 2000. ps file

(With Gavrila)

84. D. M. Gavrila and S. Munder. Multi-Cue Pedestrian Detection and Tracking from a Moving Vehicle. To appear in the International Journal of Computer Vision (est: February-March 2007 issue), Springer Verlag, 2007.

85. S. Munder and D. M. Gavrila. An Experimental Study on Pedestrian Classification. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.28, nr 11, pp. 1863-1868, 2006.

86. W. van der Mark and D. M. Gavrila. Real-Time Dense Stereo for Intelligent Vehicles. IEEE Transactions on Intelligent Transportation Systems, vol. 7, nr 1, pp.38-50, March 2006.

XII. MARYLAND (Chellapa)

87. Recognition of Humans and Their Activities Using Video, Rama Chellappa, Amit Roy Chowdhury and Shaohua Zhou, Morgan Claypool, 2005.

88. Human Identification Based on Gait, Mark S. Nixon, Tieniu N. Tan, Rama Chellappa. Springer 1st ed. December 2005.

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89. A. Kale, N. Cuntoor, B. Yegnanarayana, A.N. Rajagoplan and Rama Chellappa , “Gait-based Human Identification”, Using Appearance Matching in Optical and Digital Techniques of Information Security, B. Javidi, (ed.), Springer 2005.

90. S. Zhou and R. Chellappa. “ Face Recognition from Still Images and Videos”, Handbook of Image and Video Processing, 2nd Edition, A. Bovik (Ed.), Academic Press, 2005.

91. N. Vaswani, A.K. Agrawal, Q. Zheng and R. Chellappa, “ Moving Object Detection and Compression in IR sequences” , Computer Vision beyond the Visible Spectrum, Eds B. Bhanu and I. Pavlidis, Springer, 2003.

92. V. Parameswaran and Rama Chellappa , “Using 2D Project Invariance for Human Action Recognition”, International Journal of Computer Vision., Volume 66, Number 1, January 2006.

93. Ashok Veeraraghavan, Amit K. RoyChowdhury and Rama Chellappa , “Matching Shape Sequences in Video with Applications in Human Movement Analysis”, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 27, Dec. 2005.

94. N. Vaswani, A.K. Roy-Chowdhury, R. Chellappa, “Shape Activity”: A Continuous-State HMM for Moving/Deforming Shapes With Application to Abnormal Activity Detection” Image Processing, IEEE Transactions on, Image Processing, Vol. 14, pp. 1603 - 1616, Oct. 2005.

95. Vasu Parameswaren and Rama Chellappa , “Human Action-Recognition Using Mutual Invariants”, Computer Vision and Image Understanding, Vol. 98, pp. 295-325, Sep. 2005.

XIII. LIEGE (Piater)

96. Sébastien Jodogne, Justus Piater, Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions. European Conference on Machine Learning, 2006.

97. Tom Mathes, Justus Piater, Robust Non-Rigid Object Tracking Using Point Distribution Manifolds. 28th Annual Symposium of the German Association for Pattern Recognition (DAGM), 2006.

98. Fabien Scalzo, Justus Piater, Unsupervised Learning of Dense Hierarchical Appearance Representations. International Conference on Pattern Recognition, 2006.

99. Wei Du, Justus Piater, Data Fusion by Belief Propagation for Multi-Camera Tracking. The 9th International Conference on Information Fusion, 2006.

100. Xavier Desurmont, Jean-Bernard Hayet, Jean-François Delaigle, Justus Piater, Benoît Macq, TRICTRAC Video Dataset: Public HDTV Synthetic Soccer Video Sequences With Ground Truth. Workshop on Computer Vision Based Analysis in Sport Environments (CVBASE), pp. 92–100, 2006.

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101. Wei Du, Jean-Bernard Hayet, Justus Piater, Jacques Verly, Collaborative Multi-Camera Tracking of Athletes in Team Sports. Workshop on Computer Vision Based Analysis in Sport Environments (CVBASE), pp. 2–13, 2006.

102. Wei Du, Justus Piater, Multi-view Tracking Using Sequential Belief Propagation. Asian Conference on Computer Vision, pp. 684–693, 2006 (Hyderabad, India). Springer LNCS 3851. © Springer-Verlag.

103. Sébastien Jodogne, Justus Piater, Learning, then Compacting Visual Policies. 7th European Workshop on Reinforcement Learning, 2005 (Naples, Italy).

XIV. QUEEN MARY (Gong Shaogang)

104. T. Xiang and S. Gong. Beyond tracking: Modelling activity and understanding behaviour. International Journal of Computer Vision, Vol. 67, No. 1, pp. 21-51, 2006.

105. T. Xiang and S. Gong. Optimal dynamic graphs for video content analysis. In Proc. British Machine Vision Conference, Vol. 1, pp. 177-186, Edinburgh, September 2006.

106. Leung and S. Gong. Mean-shift tracking with random sampling. In Proc. British Machine Vision Conference, Vol. 2, pp. 729-738, Edinburgh, September 2006.

107. T. Xiang and S. Gong. Incremental visual behaviour modelling. In Proc. IEEE Visual Surveillance Workshop, pp. 65-72, Graz, May 2006.

108. J. Zhang and S. Gong. Beyond static detectors: A Bayesian approach to fusing long-term motion with appearance for robust people detection in highly cluttered scenes. In Proc. IEEE Visual Surveillance Workshop, pp. 121-128, Graz, May 2006.

109. T. Xiang and S. Gong. Video behaviour profiling and abnormality detection without manual labelling. In Proc. IEEE International Conference on Computer Vision, pp. 1238-1245, Beijing, October 2005.

110. Shaogang Gong, Tao Xiang. Relevance Learning For Spectral Clustering With Applications On Image Segmentation And Video Behaviour Profiling. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

111. Shaogang Gong, Hayley S Hung. Detecting And Quantifying Unusual Interactions By Correlating Salient Motion. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

XV. QUEEN MARY (Cavallaro Andrea)

Journal papers and book chapters

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112. Perceptual semantics. A. Cavallaro, S. Winkler. In Digital Multimedia Perception and Design (Editors: G. Ghinea and S. Y. Chen), Idea Group Publishing, ISBN 159140861-X, April 2006.

113. Semantic video analysis for adaptive content delivery and automatic description. A. Cavallaro, O.Steiger, T. Ebrahimi. IEEE Transactions on Circuits and Systems for Video Technology, Vol. 15, Issue 10, October 2005, pp.1200-1209.

114. Shadow-aware object-based video processing. Cavallaro, E. Salvador, T. Ebrahimi. IEE Vision, Image and Signal Processing, Vol. 152, Issue 4, August 2005, pp. 14- 22.

115. Tracking video objects in cluttered background. Cavallaro, O.Steiger, T. Ebrahimi. IEEE Transactions on Circuits and Systems for Video Technology, 15(4), April 2005, pp.575- 584.

116. Interaction between high-level and low-level image analysis for semantic video object extraction. A. Cavallaro, T. Ebrahimi

117. Journal on Applied Signal Processing, Special Issue on: Object-based and semantic image and video analysis, vol. 2004, n. 6, June 2004, pp. 786-797

118. Cast shadow segmentation using invariant colour features. E. Salvador, A. Cavallaro, T. Ebrahimi. Computer Vision and Image Understanding, vol. 95, n.2, August 2004, pp. 238-259.

119. Image Analysis for Video Surveillance based on Spatial Regularization of a Statistical Change Detection. F. Ziliani and A. Cavallaro. Real-Time Imaging, Special Issue on: Video Processing and Communications in Real-Time Video-Based Surveillance Systems, Vol. 7, No. 5, October 2001, pp. 389-399.

120. Automatic and Interactive Segmentation of Video Sequences. R. Castagno, A. Cavallaro, F. Ziliani, T. Ebrahimi. In Non Linear Model-based Image/Video Processing and Analysis, I.Pitas, C. Kotropoulos (Eds.), WILEY & SONS, chapter 6, April 2001.

121. Evaluation of multi-sensor surveillance event detectors. F. Ziliani and A. Cavallaro. IET Conference on Imaging for Crime Detection and Prevention (ICDP 2006), London, UK, 13-14 June, 2006.

122. Surveillance scene change detection. Cavallaro and L-Q. Xu. IEEE International Workshop on Visual Surveillance (VS2006), in conjunction with ECCV, Graz, Austria, 7-13 May, 2006.

123. Multi-feature graph-based object tracking. A. M. Taj, E. Maggio, A. Cavallaro. Proc. of Classification of Events, Activities and Relationships (CLEAR) Workshop, Springer LNCS 4122, Southampton, UK, 6-7 April, 2006.

124. Event detection in underground stations using multiple heterogeneous surveillance cameras. A. Cavallaro. Proc. of International Symposium on Visual Computing, Intelligent Vehicles and Autonomous Navigation, Lake Tahoe, Nevada, 5-7 December 2005.

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125. Performance evaluation of event detection solutions: the CREDS experience. F. Ziliani, S. Velastin, F. Porikli, L. Marcenaro, T. Kelliher, A. Cavallaro, P. Bruneaut. Proc. of IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS 2005), Como (I), 15-16 September 2005.

XVI. SUSSEX (Hilary Buxton)

126. Kingsley Sage and Hilary Buxton (2004) "Joint spatial and temporal structure learning for task based control" International Conference on Pattern Recognition click here.

127. Hilary Buxton (2002) "Learning and understanding dynamic scene activity" ECCV Generative Model Based Vision Workshop , Copenhagen.

XVII. MODEM (Cucchiara Rita)

128. R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "A Distributed Domotic Surveillance System" in Intelligent Distributed Video Surveillance Systems, Chapter 4, IEE Press, pp. 91-117, 2006 CB Human Behaviour and Domotics.

129. R. Cucchiara, C. Grana, G. Neri, M. Piccardi, A. Prati, "The Sakbot system for moving object detection and tracking" in Video-based Surveillance Systems: Computer Vision and Distributed Processing (Part II - Detection and Tracking), Kluwer Academic Publishers (selected by Proceedings of 2nd European Workshop on Advanced Video-Based Surveillance Systems, Sept. 2001, Kingston upon Thames, UK, pp. 159-171), pp. 145-158, 2001 CB Motion Analysis.

130. R. Cucchiara, J. D. Becker, M. Cardaci, M. Savini, B. Zavidovique, "Behavioural Models" in Human and Machine Perception: Information Fusion, edited by V. Cantoni, et al. Plenum Press, New York, 1997.

131. M. Bertini, R. Cucchiara, A. Del Bimbo, A. Prati, "Semantic Adaptation of Sports Video with User-centred Performance Analysis" in IEEE Transactions on Multimedia, vol. 8, n. 3, pp. 433-443, 2006 Semantic Transcoding.

132. R. Cucchiara, A. Prati, R. Vezzani, L. Benini, E. Farella, P. Zappi, "An Integrated Multi-Modal Sensor Network for Video Surveillance" in press on Journal of Ubiquitous Computing and Intelligence (JUCI), 2006.

133. R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "A computer vision system for in-house video surveillance" in IEE Proceedings - Vision, Image and Signal Processing, vol. 152, n. 2, IEE Press, ISSN 1350-2395, pp. 242-249, 2005.

134. R. Cucchiara, C. Grana, A. Prati, R. Vezzani, "Probabilistic Posture Classification for Human Behaviour Analysis" in IEEE Transactions on Systems,

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Man, and Cybernetics, Part A: Systems and Humans, vol. 35, n. 1, pp. 42-54, 2005.

135. R. Vezzani, R. Cucchiara, A. Malizia, L. Cinque, "3-D Virtual Environments on Mobile Devices for Remote Surveillance" in press on IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS 2006), Sydney, Australia, Nov. 22-24, 2006.

136. R. Cucchiara, A. Prati, R. Vezzani, "Making the home safer and more secure through visual surveillance" in Proceedings of Symposium on “Automatic detection of abnormal human behaviour using video processing” of Measuring Behaviour, Wageningen, The Netherlands, 2005.

137. R. Cucchiara, R. Vezzani, "Assessing Temporal Coherence for Posture Classification with Large Occlusions" in Proceedings of IEEE Computer Society Workshop on Motion and Video Computing, Breckenridge, USA, Jan. 4-7, 2005.

138. R. Cucchiara, C. Grana, A. Prati, G. Tardini, R. Vezzani, "Using computer vision techniques for dangerous situation detection in domotics applications" in Proceedings of IEE Intelligent Distributed Surveillance Systems (IDSS-04), London, UK, pp. 1-5, feb. 23, 2004.

139. R. Cucchiara, A. Prati, R. Vezzani, "Domotics for disability: smart surveillance and smart video server" in 8th Conference of the Italian Association of Artificial Intelligence - Workshop on "Ambient Intelligence", Pisa, Italy, pp. 46-57, Sep 23-26, 2003.

140. L. Panini, R. Cucchiara, "A machine learning approach for human posture detection in domotics applications" in Proceedings of International Conference on Image Analysis and Processing (ICIAP 2003), Mantova, Italy, pp. 103-108, Sep. 17-19, 2003.

XVIII. Foresti Gian Luca

Books

141. G.L. Foresti, C.S. Regazzoni and P. Varnshey, Multisensor Surveillance Systems: The Fusion Perspective, Kluwer Academic Publishers, May 2003.

142. G.L. Foresti, P. Mahonen and C.S. Regazzoni, Multimedia Video-Based Surveillance Systems: from User Requirements to Research Solutions, Kluwer Academic Publishers, September 2000.

Journals

143. G.L. Foresti, L. Marcenaro and C.S. Regazzoni, “Automatic Detection and Indexing of Video-Event Shots for Surveillance Applications”, IEEE Transactions on Multimedia, June 2002, pp. 1419-1440.

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144. G.L. Foresti and C.S. Regazzoni, "Multisensor Data Fusion for Driving Autonomous Vehicles in Risky Environments", IEEE Transactions on Vehicular Technology, Vol. 51, No. 5, September 2002, pp. 1165 -1185.

145. G.L. Foresti and C. Micheloni, "A Robust Feature Tracker for Active Surveillance of Outdoors Scenes", Electronic Letters on Computer Vision and Image Analysis, Vol. 1. No. 1, 2003, pp. 21-34.

Book Chapters

146. G.L. Foresti, G. Giacinto and F. Roli, “Detecting Dangerous Behaviors of Mobile Objects in Parking Areas”, J. Graeme, C.S. Regazzoni and P. Remagnino (eds.), Kluwer Academic Publishers, 2002 (in press).

147. G.L. Foresti, “Advanced Neural-based Systems for 3D Scene Undertsanding”, in Intelligent Systems: Techniques and Applications, C.T. Leondes (ed.), CRC Press LLC, 2003, pp. 237-268 (in press).

Conferences

148. L. Snidaro, R. Niu, P.K. Varshney and G.L. Foresti, "Automatic Camera Selection and Fusion for Outdoor Surveillance under Changing Weather Conditions", IEEE Conference on Advanced Video and Signal Based Surveillance, Miami Beach, Florida, July 21-22, 2003, pp. 364-369.

149. C. Micheloni and G.L. Foresti, "Fast Good feature Selection for Wide Area Monitoring", IEEE Conference on Advanced Video and Signal Based Surveillance, Miami Beach, Florida, July 21-22, 2003, pp. 271-276.

150. G.L. Foresti, C. Micheloni, L. Snidaro and C. Marchiol, "Face Detection for Visual Surveillance”, 12th International Conference on Image Analysis and Processing, ICIAP03, Mantova, Italy, September , 2003, pp. 115-119.

151. Gian Luca Foresti, Claudio Piciarelli, Lauro Snidaro. Trajectory Clustering And Its Applications For Video Surveillance. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

XIX. MULTITEL (Delaigle)

152. Avier Desurmont, Isabel Ponte, Jerome Meessen and Jean-Francois Delaigle, "Nonintrusive viewpoint tracking for 3D for perception in smart video conference", PIE Proc. of Three-Dimensional Image Capture and Applications VI, San Jose, CA USA, January 2006.

153. X. Desurmont, R. Sebbe, F. Martin, C. Machy and J-F. Delaigle, "Performance Evaluation of Frequent Events Detection Systems", Ninth IEEE International

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Workshop on Performance Evaluation of Tracking and Surveillance, New York, 18th June 2006.

154. Enficiaud, B. Lienard, N. Allezard, R. Sebbe, S. Beucher, X. Desurmont, P. Sayd and J-F. Delaigle, "Clovis - A generic framework for general purpose visual surveillance applications", IEEE International Workshop on Visual Surveillance (VS), 2006.

XX. TAIWAN

155. Ming-Hua Tsai, Chieh-Ling Huang, Pau-Choo Chung, Yen-Kuang Yang, Yu-Chia Hsu, and Shu-Ling Hsiao, A Psychiatric Patients Tracking System, Circuit and Systems, 2006. ISCAS 2006, Proceedings. 2006 IEEE International Symposium on, 21-24 May 2006.

156. Chieh-Ling Huang, E-Liang Chen, and Pau-Choo Chung, "Fall Detection using Modular Neural Networks and Back-projected Optical Flow", The 12th International Conference on Neural Information Processing (ICONIP 2005) Proceedings, Oct 30 - Nov 2 2005.

157. Chieh-Ling Huang, E-Liang Chen, and Pau-Choo Chung, "Using Modular Neural Networks for Falling Detection", The 10th Conference on Artificial Intelligence and Application (TAAI2005).

158. Yi-Ping Hung, Yu-Pao Tsai, Chih-Chuan Lai, “A Bayesian Approach to Video Object Segmentation via Merging 3D Watershed Volumes,” Proceedings of International Conference on Pattern Recognition (ICPR02), Quebec, Canada, Vol. 3, August 2002.

XXI. PETS 2006

159. PETS vs. VACE Evaluation Programs: A Comparative Study. V. Manohar, M. Boonstra, V. Korzhova, P. Soundararajan, D. Goldgof, R. Kasturi, S. Prasad, H. Raju, R. Bowers and J. Garofolo. Computer Science and Engineering, University of South Florida, FL USA; Video Mining Inc., State College, PA USA; National Institute of Standards and Technology, Gaithersburg, MD USA.

160. Performance Evaluation of Object Detection and Tracking Systems. F. Bashir and F. Porikli, Mitsubishi Electric Research Laboratories, Cambridge, MA, USA.

161. Performance Evaluation of Frequent Events Detection Systems. X. Desurmont, R. Sebbe, F. Martin, C. Machy and J-F. Delaigle, Research Centre in Telecommunications, Signal and Image Processing, Multitel A.S.B.L., Mons, Belgium; Faculté Polytechniques de Mons, Mons, Belgium.

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DRAFT

162. Designing Evaluation Methodologies: The Case of Motion Detection. N. Lazarevic-McManus, J. Renno, D. Makris and G. A. Jones, Digital Imaging Research Centre, Kingston University, London, UK.

163. Context-Controlled Adaptive Background Subtraction. L. Li, R. Luo, W. Huang and H-L. Eng, Institute for Infocomm Research, Singapore.

164. Autonomous Learning of a Robust Background Model for Change Detection. H. Grabner, P. M. Roth, M. Grabner and H. Bischof, Institute for Computer Graphics and Vision, Graz University of Technology, Austria.

165. An Overview of the PETS 2006 Dataset. D. Thirde, L. Li and J. Ferryman, Computational Vision Group, The University of Reading, UK.

166. Left-Luggage Detection using Homographies and Simple Heuristics. E. Auvinet, E. Grossmann, C. Rougier, M. Dahmane and J. Meunier, Department of Computer Science and Operations Research, University of Montreal, Canada.

167. Automatic Left Luggage Detection and Tracking using Multi-Camera UKF. J. Martínez-del-Rincón, J. E. Herrero-Jaraba, J. R. Gómez and C. Orrite-Uruñuela, Computer Vision Laboratory, Aragon Institute for Engineering Research, University of Zaragoza, Spain.

168. Multi-View Detection and Tracking of Travelers and Luggage in Mass Transit Environments. N. Krahnstoever, P. Tu, T. Sebastian, A. Perera and R. Collins, General Electric Global Research, Niskayuna, NY USA.

169. Detecting Abandoned Luggage Items in a Public Space. K. Smith, P. Quelhas and D. Gatica-Perez, IDIAP Research Institute and École Polytechnique Fédérale de Lausanne (EPFL), Switzerland.

170. Left Luggage Detection using Bayesian Inference. F. Lv, X. Song, B. Wu, V. K. Singh and R. Nevatia, Institute for Robotics and Intelligent Systems, University of Southern California, CA USA.

171. Evaluation of an IVS System for Abandoned Object Detection on PETS 2006 Datasets. L. Li, R. Luo, R. Ma, W. Huang and K. Leman, Institute for Infocomm Research, Singapore.

172. Abandoned Object Detection in Crowded Places. S. Guler and M. K. Farrow, intuVision, Inc., Woburn, MA USA.

XXII. EPFL (Pascal Fua)

173. R. Urtasun, D. Fleet and P. Fua, 3D People Tracking with Gaussian Process Dynamical Models, Conference on Computer Vision and Pattern Recognition, June 2006.

174. J. Berclaz, F. Fleuret, and P. Fua, Robust People Tracking with Global Trajectory Optimization, Conference on Computer Vision and Pattern Recognition, 2006.

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175. M. Ozuysal, V. Lepetit, F. Fleuret and P. Fua, Feature Harvesting for Tracking-by-Detection, European Conference on Computer Vision, Vol. 3953, pp. 592--605, 2006.

176. M. Dimitrijevic, V. Lepetit and P. Fua, Human Body Pose Recognition Using Spatio-Temporal Templates, ICCV workshop on Modeling People and Human Interaction, Beijing, China, October 2005.

177. R. Plankers and P. Fua. Tracking and modeling people in video sequences. Computer Vision and Image Understanding, 81(3):285–302, March 2001.

XXIII. IDIAP (Gatica)

178. Tracking People in Meetings with Particles / Gatica-Perez, D. et al. – In Proc. Int. Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS), invited paper (2005).

179. Semi-supervised Meeting Event Recognition with Adapted HMMs / Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy – In Pro. IEEE ICME (2005).

180. Multimodal Integration for Meeting Group Action Segmentation and Recognition / Al-Hames, Marc et al. – In MLMI (2005).

181. Semi-supervised Adapted HMMs for Unusual Event Detection / Zhang, Dong; Gatica-Perez, Daniel; Bengio, Samy; McCowan, Iain – In Pro. IEEE CVPR (2005).

XXIV. ENSMP - CMM (Serge Beucher)

182. Gomila Cristina, Meyer Fernand. Tracking objects by graph matching of image partition sequences. in 3rd IAPR-TC15 Workshop on Graph-Based Representations in Pattern Recognition, GbR 2001, Ischia, Italy, May 23-25, 2001, pp. 1-11. [D-39/01/MM].

183. Gomila Cristina, Meyer Fernand. Automatic video object generation tool : segmentation and tracking of persons in real time. Annales des Télécommunications, 2000. 55(3-4): p. 172-183. [D-32/00/MM].

XXV. IRISA (Bouthemy & Laptev)

184. A. Kokaram, N. Rea, R. Dahyot, M, Tekalp, P. Bouthemy, P. Gros, I. Sezan. Browsing sports video (Trends in sports-related indexing and retrieval work). IEEE Signal Processing Magazine, 23(2):47-58, Mars 2006.

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DRAFT

185. M. Gelgon, P. Bouthemy, J.-P. Le Cadre. Recovery of the trajectories of multiple moving objects in an image sequence with a PMHT approach. Image and Vision Computing Journal, 23(1):19-31, 2005.

186. "Local Velocity-Adapted Motion Events for Spatio-Temporal Recognition" (2007). I. Laptev, B. Caputo and T. Lindeberg; in Computer Vision and Image Understanding.

187. "Velocity-adaptation of spatio-temporal receptive fields for direct recognition of activities: An experimental study" (2004). I. Laptev and T. Lindeberg; in Image and Vision Computing 22:105-116.

188. "Local Spatio-Temporal Image Features for Motion Interpretation" (2004), Ivan Laptev; PhD Thesis, defended on June 11, 2004 at Computational Vision and Active Perception Laboratory (CVAP), NADA, KTH, Stockholm. ISBN 91-7283-793-4.

189. "Improvements of Object Detection Using Boosted Histograms" (2006), I. Laptev; in Proc. BMVC'06, Edinburgh, UK, pp. III:949-958.

XXVI. INRIA-ALPES190. A Local Basis Representation for Estimating Human Pose from Cluttered

Images. Ankur Agarwal, Bill Triggs. Asian Conference on Computer Vision - January 2006.

191. Finding People in Images and Videos. Navneet Dalal. PhD thesis from Institut National Polytechnique de Grenoble - July 2006.

192. Human Detection using Oriented Histograms of Flow and Appearance. Navneet Dalal, Bill Triggs, Cordelia Schmid. European Conference on Computer Vision – 2006.

193. Latent Mixture Vocabularies for Object Categorization. Diane Larlus, Frederic Jurie. British Machine Vision Conference – 2006.

194. Bayesian Occupancy Filtering for Multitarget Tracking: an Automotive Application. C. Coué, C. Pradalier, C. Laugier, Th. Fraichard, P. Bessière Int. Journal of Robotics Research, Volume 25, Number 1, page 19--30 - January 2006.

XXVII. Politecnico di Milano, Italy

195. Marco Marcon, Massimiliano Pierobon, Augusto Sarti, Stefano Tubaro. Clustering Of Human Actions Using Invariant Body Shape Descriptor And Dynamic Time Warping. Advanced Video and Signal-Based Surveillance (AVSS), Como, Italy, September 2005.

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XXVIII. Other LABs

196. M. Brand and V. Kettnaker. Discovery and segmentation of activities in video. IEEE Trans. Patt. Anal. Mach. Intell., 22(8), 2000.

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