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Computer Engineering ›› 2012, Vol. 38 ›› Issue (15): 190-193. doi: 10.3969/j.issn.1000-3428.2012.15.053

• Networks and Communications • Previous Articles     Next Articles

Real Time Multi-objects Tracking Method in Traffic Scene

LIU Shao-jie   1, ZHANG Chao   1, HU Fu-qiao   1, LIAO Ping   2   

  1. (1. Key Laboratory of System Control and Information Processing, Ministry of Education, Department of Automation, Shanghai Jiaotong University, Shanghai 200240, China; 2. School of Information Science and Technology, East China Normal University, Shanghai 200062, China)
  • Received:2011-10-08 Online:2012-08-05 Published:2012-08-05

交通场景中的实时多目标跟踪方法

刘绍杰1,张 超1,胡福乔1,廖 萍2   

  1. (1. 上海交通大学自动化系系统控制与信息处理教育部重点实验室,上海 200240; 2. 华东师范大学信息科学技术学院,上海 200062)
  • 作者简介:刘绍杰(1985-),男,硕士研究生,主研方向:模式识别,机器视觉;张 超,硕士研究生;胡福乔,副教授、博士;廖 萍,硕士研究生
  • 基金资助:
    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)

Abstract: 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.

Key words: multi-objects tracking, real time system, corner, clustering, surveillance system

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。

关键词: 多目标跟踪, 实时系统, 角点, 聚类, 监控系统

CLC Number: