Date post: | 18-Jan-2018 |
Category: |
Documents |
Upload: | jeffery-reed |
View: | 234 times |
Download: | 0 times |
BACKGROUND MODEL CONSTRUCTION AND MAINTENANCE IN A VIDEO SURVEILLANCE SYSTEM
Computer Vision Laboratory指導教授:張元翔 老師研究生:許木坪
Outline
IntroductionInitial background model constructionBackground model adjustmentBackground model replacementMoving object detectionExperimental results and analysisConclusionsReferences
Introduction(1)
Background objects, foreground ones.Moving object detection, tracking, object
type classification, human motion analysis, behavior understanding.
Background subtraction, temporal differencing, optical flow analysis.
Introduction(2)
Initial background model construction(1)
Initial background model construction(2)
Background model adjustment(1)
Background model adjustment(2)
Background model replacement(1)
Superimposed image analysis
Background model replacement(2)
Candidate frames collection
Background model replacement(3)
Background model replacement
Moving object detection
Experimental results and analysis
Conclusions
Initial background model construction, sustained background model adjustment, rapid background model replacement.
Future – process an insufficient light environment during the night.object tracking, face recognition, and behavior understanding.
References
The 18th IPPR Conference on Computer Vision, Graphics and Image Processing