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 Introduction Initial background model construction Background model adjustment Background model replacement Moving object detection Experimental results and analysis Conclusions References

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