Liu Long, Liu Gui-zhong, Wang Zhan-hui, Wang Li-ming. Segmentation and Tracking of Video Object of Interest Based on Change of Multi-frames Edge[J]. Journal of Electronics & Information Technology, 2004, 26(5): 715-721.
Citation:
Liu Long, Liu Gui-zhong, Wang Zhan-hui, Wang Li-ming. Segmentation and Tracking of Video Object of Interest Based on Change of Multi-frames Edge[J]. Journal of Electronics & Information Technology, 2004, 26(5): 715-721.
Liu Long, Liu Gui-zhong, Wang Zhan-hui, Wang Li-ming. Segmentation and Tracking of Video Object of Interest Based on Change of Multi-frames Edge[J]. Journal of Electronics & Information Technology, 2004, 26(5): 715-721.
Citation:
Liu Long, Liu Gui-zhong, Wang Zhan-hui, Wang Li-ming. Segmentation and Tracking of Video Object of Interest Based on Change of Multi-frames Edge[J]. Journal of Electronics & Information Technology, 2004, 26(5): 715-721.
It is one of the key technologies to MPEG-4 grade codes based on target to segment and track the concerned video objects from the video scene. Most current seg-mentation and tracking algorithms are of high complexity but not effective in getting rid of background noise. One algorithm is put forward to segment and trace video objects based on edge difference among multiple frames. According to the proposed algorithm, edge difference between a group of frames is used to draw the area of moving objects; then, background pixels are removed through setting up pixel-measuring window and threshold value; the area of objects is set up by morphology operator; at the same time, vectors between the last concerned objects per frame and moving objects of present frame are established to follow current concerned objects. The result of various standard video test sequences shows that the proposed algorithm offers more accurate, faster and more effective segmentation and tracking of concerned video moving objects.
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