Foreground segmentation for static video via multi-core and multi-modal graph cut

We proposed a new foreground detection method using the static cameras. It merges multi-modality into graph cut energy function, and performs much better results than conventional methods. Here we not only consider about the color appearance of the frame, but also spatial constraint of the foreground object. Therefore we can get the more precise shape of foreground. Besides, we divide the graph cut problem into several sub problems, in order to reduce the computing time, and try to utilize multi-core to solve the problems at the same time. Furthermore, real time performance can be easily achieved by above works. The experiments on real videos demonstrate our improvement than the other conventional foreground detection method.

• Type: Journal
• Year: 2009
• Where: ICMCS
• Authors: Lun-Yu Chang, Winston H. Hsu
• Keywords: Conventional Foreground Detection, Foreground Detection Method, Foreground Object, ICMCS 2009, Multimedia