Interaction Between Object Detection and Multi-Target Tracking

摘要：

　　Object detection and target tracking are two basic tasks in video analysis and understanding.Though both of them were studied widely and deeply,interaction between them worth more efforts.We give an interaction framework between PNN based object detection and meanshift target tracking.Detection results were used to accelerate tracking speed by decrease search steps,and tracking results were used to guide the updating of background model for motion detection.Performances of both multi-object tracking and motion detection were improved.

关键词： Object detection Target tracking Background model Meanshift ,Neural network

作者: Wang Zhiming Bao Hong

作者单位: School of Computer and Communication Engineering,University of Science and Technology Beijing,Beijing,China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1357-1361

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）