Enhanced Computer Vision with Microsoft Kinect Sensor: A Review

Jungong Han, Member, IEEE, Ling Shao,Senior Member, IEEE, Dong Xu, Member, IEEE,

And Jamie Shotton, Member, IEEE

Presenter: Abu Saleh Md MusaRoll no: 0907013

Covered Areas

• Kinect Mechanism• Preprocessing• Object Tracking and Recognition• Human Activity Analysis• Hand Gesture Analysis• Indoor 3-D Mapping• Problems, Outlook and Conclusion

Kinect Mechanism

1. Kinect Sensing Hardware

Kinect Mechanism

2. Kinect Software Tools

Kinect Mechanism

3. Kinect Performance Evaluation

Kinect Censor >TOF cameras

Preprocessing

Kinect Recalibration Depth Data Filtering

Object Tracking and Recognition

Object Detection and Tracking Object and Scene Recognition

Object Tracking and Recognition

Human Activity Analysis

Pose Estimation Activity Recognition

Hand Gesture Analysis

Hand Detection Hand Pose Estimation Gesture Classification

Indoor 3-D Mapping

Sparse Feature Matching Dense Point Matching

Problems, Outlook and Conclusion

Real-World Applications Efficient Integration of Algorithms Information Fusion Outlook for the Future

References

http://vision.in.tum.de/research/rgb-d_sensors_kinect http://www.metrilus.de/range-imaging/time-of-flight-

cameras/ http://www.cs.washington.edu/rgbd-dataset/ http://en.wikipedia.org/wiki/Kinect