Reliable real-time foreground detection for video surveillance applications
Proceedings of the third ACM international workshop on Video surveillance & sensor networks
Automated visual surveillance in computer vision
AMTA'09 Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications
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Detecting background changes in scenes containing significant numbers of moving objects has several applications in video surveillance. One important example is the detection of suspicious packages left in busy airport terminals or train stations. The paper outlines a statistical approach to automatically detecting long term changes to the stationary component of a scene, and describes a prototype system which has been used to successfully demonstrate the feasibility of this approach.