In this paper, a new method is presented for a robust and efficient analysis of video sequences that allows the extraction of foreground objects and the classification of static foreground regions as abandoned or removed objects (ghosts). As a first step, the moving regions in the scene are detected by subtracting to the current frame a background model continuously adapted. Then, a shadow removing algorithm is used to extract the real shape of detected objects and finally, moving objects are classified as abandoned or removed by analysing the boundaries of static foreground regions. The method was successfully tested on real image sequences and it run about 7 fps at size 480x640 on a 2, 33 GB Pentium IV machine.
1 Jan 2006
Proceedings of International Symposium on Communications, Control, and Signal Processing