A Study on an Effective Motion Tracking Algorithm

摘要：

Moving objects tracking in video sequences are the fundamental and challenging research topics i12 computer vision area at present．They have great research and application values in modem industry，military，avigation and spaceflight area．But SO far robust object tracking is still an open problem especially when the scene iS complex．The main obstacles in the research are the scale of object，occlusion，background complexity and other non—rigid deformation．The system presents all integration of Kalman prediction1and Mean—shift2tracking method．A large number of experimental results show that the proposed tracking algorithm not only can improve the reliability and accuracy which traditional tracking algorithm cannot．but also can ireprove the real—time performance which SIFT tracking algorithm fails．

关键词： Moving objects tracking scale variances and occlusion Kalman filter prediction Mean-shift tracking

作者: GAO Li

作者单位: Electrical Department, Huainan Union University Huainan, China 232001

会议类型: 国际会议

会议名称: 4th International Conference on Measuring Technology and Mechatronics Automation(第四届检测技术与机电自动化国际会议 ICMTMA 2012)

会议地点: 三亚

会议语种:英文

页码: 799-802

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）