Study on Moving Object Tracking Algorithm in Video Images

摘要：

Moving object tracking algorithm in video images is studied. Mean shift is optimization algorithm based on gradient descended, which tracks moving object through iteration. While particle filter is a robust method of tracking in non-gauss and non-linear case. Considering the excellence and disadvantage of mean shift and particle filter algorithm, a tracking algorithm based upon the two methods is proposed. Experiments show that the method can tracking moving objects efficiently, even in the situation of occlusion.

关键词： Moving object tracking mean shift particle filter

作者: Liang Wei Wang Jianhua Li Qin

作者单位: Mechanical Engineering College,Shijiazhuang 050003 China

会议类型: 国际会议

会议名称: 第八届国际电子测量与仪器学术会议(Proceedings of 2007 8th International Conference on Electronic Measurement & Instruments)

会议地点: 西安

会议语种:英文

在线出版日期: 2007-08-16（万方平台首次上网日期，不代表论文的发表时间）