控制理论与应用2011，Vol.28Issue(10)：1421-1430,10.
改进联合概率数据关联的视频多目标快速跟踪
Tracking multiple video objects based on improved joint probabilistic data association
摘要
Abstract
For the data association of video objects having little distinguishable features in large-scale monitoring scenes, we present a method for tracking multiple video objects in real-time based on the joint probabilistic data association （JPDA）, in which the motion features of the objects are incorporated. First, the k-best joint events are computed by the Murty algorithm to reduce the complexity, and then, the motion situations of objects are analyzed by the association probability of JPDA. When objects are entering and exiting the field of view, merging and splitting （objects are detected as fragmented parts）, the data association algorithm acquires the tracking trajectories of the objects. Experiments demonstrate the feasibility and performances of the proposed approach.关键词
视频监控/多目标跟踪/联合概率数据关联/复杂运动Key words
visual surveillance/multiple objects tracking/joint probabilistic data association/complex motion分类
信息技术与安全科学引用本文复制引用
万琴,王耀南,袁小芳..改进联合概率数据关联的视频多目标快速跟踪[J].控制理论与应用,2011,28(10):1421-1430,10.基金项目
国家自然科学基金重点资助项目 （）
国家自然科学基金资助项目 （）
湖南省自然科学基金资助项目 （）
湖南省重点学科建设资助项目：湖南省高校刨新平台开放基金资助项目（lIK019）. （）
