Artificial Potential Field Based Cooperative Particle Filter for Multi-view Multi-object Tracking

摘要：

　　To continuously track the multiple occluded object in the crowded scene,we propose a new multi-view multiobject tracking method basing on artificial potential field and cooperative particle filter in which we combine the bottom-up and top-down tracking methods for better tracking results.After obtaining the accurate occupancy map through the multi-planar consistent constraint,we predict the tracking probability map via cooperation among multiple particle filters.The main point is that multiple particle filters’ cooperation is considered as the path planning and particles’ random shifting is guided by the artificial potential field.Comparative experimental results with the traditional blobdetection- tracking algorithm demonstrate the effectiveness and robustness of our method.

关键词： Artificial potential field Cooperative particle filter Multiple cameras Multi-object tracking

作者: Xiaomin Tong Yanning Zhang Tao Yang

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

会议类型: 国际会议

会议名称: 2013中国虚拟现实大会暨ICVRV2013

会议地点: 西安

会议语种:英文

页码: 74-80

在线出版日期: 2013-09-14（万方平台首次上网日期，不代表论文的发表时间）