A Feature Point Matching Based Approach for Video Objects Segmentation
In this paper, we propose an approach to segment the multiple objects in video. For a video sequence with stationary background, our approach combines the feature points with the color and contrast information to extract the multiple objects of different sizes. The idea is that the local features of the feature points are more robust than that of the pixels, and more accurate than the global color feature. So we integrate the local cues of the feature points into the basic color model in graph cut. Our method matches the feature points in the known background and the current image, and classifies them in three categories. Then the influences to their neighbor pixels are computed according to the category, and integrated in the pixels color model. The max-flow algorithm is applied to obtain the last result of the segmentation. Experimental results demonstrate the effectiveness of our approach.
Yan Zhang Zhong Zhou Wei Wu
State Key Laboratory of Virtual Reality Technology and Systems, Beijing, P.R.China School of Computer Science and Engineering, Beihang University, Beijing, P.R.China
国际会议
2008 International Conference on Audio，Language and Image Processing(2008国际声音、语言、图像过程大会)
镇江
英文
322-329
2008-07-07（万方平台首次上网日期，不代表论文的发表时间）