A Tracking Algorithm Based on SIFT and Kalman Filter

摘要：

　　This paper presents a method of target tracking based on SIFT and Kalman filter.SIFT algorithm has the ability to detect the invariant feature points which used in tracking and Kalman filter has the ability to predict the target location.Firstly,this paper uses SIFT to compute the location of target.Secondly,this paper uses Kalman filter to optimize the target location in order to correct the error of SIFT algorithm precisely.Lastly,this paper uses 2 groups of videos to test this algorithm.The results show that this is an effective tracking method.

关键词： Tracking SIFT feature point Kalman filter

作者: Song Dan Zhao Baojun Tang Linbo

作者单位: School of Information Science and Technology Beijing Institute of Technology

会议类型: 国际会议

会议名称: 2012 2nd International Conference on Computer Application and System Modeling(2012第二届计算机应用与系统建模国际会议)(ICCASM-2012)

会议地点: 沈阳

会议语种:英文

页码: 1563-1566

在线出版日期: 2012-07-27（万方平台首次上网日期，不代表论文的发表时间）