摘要
针对多目标检测与跟踪技术的应用要求,提出一种用于交通场景的实时多目标跟踪方法。设计背景建模算法和基于角点动态特征的分层跟踪算法,利用背景建模算法提取视频帧前景,并在前景区域运用分层跟踪算法,包括Corner、Cluster和Object 3层架构,通过在不同层之间引入对应的聚类算法,以实现目标跟踪。实验结果表明,该方法适用于多数交通场景,对光照、阴影具有较强的鲁棒性。
To address the issue that more and more requirements to the multi objects detection and tracking technology,this paper proposes a real time multi objects tracking algorithm in traffic scene.It designs background modeling algorithm and the dynamic multi level tracking algorithm based on corners.Background modeling algorithm is used to extract the foreground.Tracking algorithm has three levels which are Corner,Cluster and Object.It introduces suitable grouping algorithm to the different layers to realize object tracking.Experimental results show that the proposed method can be applied to most traffic scenes.It is robust to light and shadow and to the multi objects tracking with complex background.
出处
《计算机工程》
CAS
CSCD
2012年第15期190-193,共4页
Computer Engineering
基金
国家自然科学基金资助项目"多视角下的多类型目标识别与行为分析"(61175009)
关键词
多目标跟踪
实时系统
角点
聚类
监控系统
multi objects tracking
real time system
corner
clustering
surveillance system
