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

摘要：

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.

关键词： video object segmentation foreground extraction

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

作者单位: Department of Computer Science and Information Engineering, National Penghu University, Taiwan Department of Electrical Engineering, Dayeh University, Taiwan

会议类型: 国际会议

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

会议地点: 沈阳

会议语种:英文

页码: 1-5

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）