Intelligent surveillant system based on video analysis

Hao Zeng · Computer Engineering and Applications Journal · 2008

Intelligent surveillance is one of the hot fields in computer vision.This paper presents an intelligent detecting and tracking surveillant system based on video analysis,which is suitable for indoor environment.Firstly,a statistical model-based detection algorithm is used to find moving object.Then,the moving object is roughly tracked using meanshift.Meanwhile,to improve the deficiency that the scale of meanshift is not changeable,an adaptive scale update algorithm based on boundary force is presented.Finally,an intelligent video surveillant platform is designed and constructed with DM642 as the core.The experimental results show that the system can detect and track the moving object in indoor scene rapidly and effectively.

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