Survey of Data Association of Moving Objects tracking in Video Sensors Network

摘要：

Object tracking is a crucial task in computer vision systems for surveillance, traffic monitoring or intelligent homes. In all these cases, tracking is based on association of observations. Conventional tracking approaches assume similarity in space, time and appearance of objects in successive observations. However, Observations of objects are often widely separated in time and space when viewed from multiple non overlapping cameras. Moreover, appearance of one object is dramatically different among cameras due to the differences in illumination, pose and camera parameters. On the other hand, real worlds timespace constraint (motion path information) on moving object and sensors position are always available in advance. Thus, this paper presents a survey of data association method across visual sensors network for moving objects tracking. In particular, previous research on various data association methods of non overlapping cameras is reviewed.

关键词： Object tracking video sensors network data association

作者: Zhifeng Ma Jiuqing Wan

作者单位: Department of Automation Science and Electrical Engineering Beihang University,Beijng,China

会议类型: 国际会议

会议名称: 2009 9th International Conference on Electronic Measurement & Instruments(第九届电子测量与仪器国际会议 ICEMI2009)

会议地点: 北京

会议语种:英文

页码: 3478-3482

在线出版日期: 2009-08-16（万方平台首次上网日期，不代表论文的发表时间）