A Novel Multi-Planar Homography Constraint Algorithm for Robust Multi-People Location with Severe Occlusion

摘要：

Multi-view approach has been proposed to solve occlusion and lack of visibility in crowded scenes. However, the problem is that too much redundancy information might bring about false alarm. Although researchers have done many efforts on how to use the multi-view information to track people accurately, it is particularly hard to wipe off the false alarm. Our approach is to use multiple views cooperatively to detect objects and use objects silhouette on planes of different height to remove false alarm. To achieve this we adopt a novel multi-planar homography constraint to resolve occlusions and false alarm. Experimental results show that our algorithm is able to accurately locate people in crowded scene maintaining correct correspondences across views. Moreover, the false alarm rate is obviously reduced.

作者: Xiaomin Tong Tao Yang Runping Xi Dapei Shao Xiuwei Zhang

作者单位: School of Computer Science, Northwestern Polytechnical University ShaanXi Key Laboratory of Speech and Image Information Processing Xian, ShaanXi, 710129, P.R.China

会议类型: 国际会议

会议名称: The Fifth International Conference on Image and Graphics(第五届国际图像图形学学术会议 ICIG 2009)

会议地点: 西安

会议语种:英文

页码: 349-354

在线出版日期: 2009-09-20（万方平台首次上网日期，不代表论文的发表时间）