Detection and Tracking of Multiple Targets Based on Video Processing

摘要：

Video processing has become an efficient technique support for collecting parameters of urban traffic. Detection and tracking of multiple targets with an uncalibrated CCD camera is developed in this paper. In order to obtain moving targets from the video sequence efficiently, the paper presents Mixture Gaussian background model based on objectlevel, and moving objects are extracted after background subtraction. Moving multi-targets are tracked through integration of the motion and shape features by Kalman filter modeling. In order to ensure the continuity and the stabilization, occlusion processing is performed. The proposed approach is validated under real traffic scenes. Experimental results show that detection and tracking are robust and adaptive, can be well applied in real-world.

关键词： intelhgence transportation system video processing background update motion tracking

作者: Yuanyuan Ren Xiansheng Li Hongyu Hu Jianfeng Xi

作者单位: College of Transportation Jilin University Changchun, China College of Transportation Jilin University Changchun,China

会议类型: 国际会议

会议名称: 2009 Second International Conference on Intelligent Computation Technology and Automation(2009 第二届IEEE智能计算与自动化国际会议 ICICTA 2009)

会议地点: 长沙

会议语种:英文

页码: 586-589

在线出版日期: 2009-10-10（万方平台首次上网日期，不代表论文的发表时间）