INTERACTIVE TRACKING-BASED PEDESTRIAN SEGMENTATION IN DYNAMIC SCENES

摘要：

Moving object segmentation is highly beneficial to human identification and behavior analysis in intelligent video surveillance.The widely-used background subtraction works not well in dynamic scenes.In this paper,the problem is addressed by first localizing the object by tracking and then segmenting it locally via Graph cuts.We also propose a robust tracker combining the merits of two existing methods 1 and 2,and display an interactive segmentation system.Experiments verify the feasibility of our method and that the proposed tracker outperforms most state-of-the-art methods.

关键词： moving object segmentation object tracking silhouette extraction video surveillance

作者: Xiang Xiang

作者单位: Key Lab of Intelligent Information Processing of CAS,Institute of Computing Technology,Chinese Academy of Sciences (CAS),Beijing,China

会议类型: 国际会议

会议名称: 第三届全国智能视觉监控学术会议

会议地点: 北京

会议语种:英文

页码: 5-8

在线出版日期: 2011-12-01（万方平台首次上网日期，不代表论文的发表时间）