Probabilistic model single target tracking framework for video surveillance system

CORC > 长春光学精密机械与物理研究所 > 中国科学院长春光学精密机械与物理研究所 > 中科院长春光机所知识产出

	Probabilistic model single target tracking framework for video surveillance system
	Li, J.-Y.; Y.-Y. Liu; R. Tian; Y.-J. Wang and R.-K. Jiang
刊名	Guangxue Jingmi Gongcheng/Optics and Precision Engineering
	2015
卷号	23 期号:7 页码:2093-2099
英文摘要	According to characteristics of video surveillance and strong mobility of tracking targets, a novel target tracking framework based on a probability model was proposed. The current standard particle filtering target algorithm was improved based on a target appearance model, a systemic dynamic model, and a systemic observation model. Firstly, the target appearance model was established by taking the distribution of human eye cell into account to improve its resistance capability for partial occlusion of local occlusion. Then, the systemic dynamic model based on the adaptive target movement was built to improve the robustness of tracking framework for the fast moving target. Finally, the systemic observation model with online update was established to prevent the tracking shift when the target faced the occlusion, illumination changes, severe deformation, etc., effectively. Experimental results show that the proposed algorithm achieves 98% of correct tracking rate, and the average tracking error is less than 6 pixels. The proposed method satisfies the video surveillance system requirements for stabilization, reliability, higher precision, less computing cost, as well as strong anti-jamming. , 2015, Chinese Academy of Sciences. All right reserved.
收录类别	EI
内容类型	期刊论文
源URL	[http://ir.ciomp.ac.cn/handle/181722/56050]
专题	长春光学精密机械与物理研究所_中科院长春光机所知识产出
推荐引用方式 GB/T 7714	Li, J.-Y.,Y.-Y. Liu,R. Tian,et al. Probabilistic model single target tracking framework for video surveillance system[J]. Guangxue Jingmi Gongcheng/Optics and Precision Engineering,2015,23(7):2093-2099.
APA	Li, J.-Y.,Y.-Y. Liu,R. Tian,&Y.-J. Wang and R.-K. Jiang.(2015).Probabilistic model single target tracking framework for video surveillance system.Guangxue Jingmi Gongcheng/Optics and Precision Engineering,23(7),2093-2099.
MLA	Li, J.-Y.,et al."Probabilistic model single target tracking framework for video surveillance system".Guangxue Jingmi Gongcheng/Optics and Precision Engineering 23.7(2015):2093-2099.