会议专题

Video Object Segmentation by Integrating Motion Information and Gradient Compensation without Background Construction

This paper proposes an effective method for video object segmentation without background construction. In the proposed method, the coarse foreground extraction and fine foreground extraction are obtained using the motion information, edge information, and gradient-variation information which are first evaluated by two successive frames. Next, the video object is extracted using the horizontal/vertical filling scheme based on the coarse foreground extraction and fine foreground extraction. Finally, video object refining is used to obtain the more accurate video object. Experimental results show that the proposed method has good performance in sensitivity, specificity, and spatial accuracy.

video object segmentation foreground extraction

Wu-Chih Hu Ching-Yu Yang Deng-Yuan Huang Jung-Fu Hsu

Department of Computer Science and Information Engineering, National Penghu University, Taiwan Department of Electrical Engineering, Dayeh University, Taiwan

国际会议

2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

沈阳

英文

1-5

2009-08-12(万方平台首次上网日期,不代表论文的发表时间)