Human Cast Shadow Elimination Method Based on Orientation Information Measures
Shadow elimination is critical for robust and reliable visual surveillance system. Because cast shadows have most motion features as the moving objects, it is difficult to eliminate it. This paper presents a novel moving cast shadow elimination algorithm. The algorithm is based on heuristic approach to detect and eliminate the human cast shadow. Moving region geometrical analysis approaches is proposed. Based on human body geometrical properties, the shadow existence and its approximate location can be determined. Shadow detection algorithm based on image orientation information measure is proposed. The frame ratio image is segmented into shadow-like region and non-shadow-like region. Finally, the approximate shadow location and the shadow-like region are fused to form the fine shadow region, and then the shadow can be eliminated. The algorithm has high efficiency and anti-noise performance. The experiments demonstrate shadow region can be eliminated quite well and thus good human body segmentation results can be obtained.
Shadow elimination orientation information measure geometrical analysis segmentation visual surveillance
Sheng Bi Dequn Liang Xiaoyan Shen Qiang Wang
School of Information Technology Dalian Maritime University Dalian, Liaoning Province, China
国际会议
2007 IEEE International Conference on Automation and Lofistics
山东济南
英文
2007-08-18（万方平台首次上网日期，不代表论文的发表时间）