Multi-feature fusion tracking based on a new particle filter

doi:10.4304/jcp.7.12.2939-2947

CORC > 兰州理工大学 > 兰州理工大学

	Multi-feature fusion tracking based on a new particle filter
	Cao, Jie 2,3,4,5; Li, Wei 1,2,3,5; Wu, Di 2,3,4
刊名	Journal of Computers (Finland)
	2012
卷号	7 期号:12 页码:2939-2947
关键词	Distribution functions Image processing Monte Carlo methods State estimation D S evidence theory Multi-feature fusion Object Tracking Particle filter Quadrature Kalman filters
ISSN号	1796203X
DOI	10.4304/jcp.7.12.2939-2947
英文摘要	A new kind of particle filter is proposed for the state estimation of nonlinear system. The proposed algorithm based on Quadrature Kalman Filter by using integral pruning factor, which optimizes and reorganizes the integration point. New algorithm overcomes the particle degeneration phenomenon well by using Pruning Quadrature Kalman Filter to produce optimized proposal distribution function. In the improving particle filter framework, using color and motion edge character as observation model. Fusing feature weights through the D-S evidence theory, and effectively avoid the questions of bad robust produced by the single color feature in the illumination of mutation, posture change and similar feature occlusion. Experiment results indicate that the proposed method is more robust to track object and has good performance in complex scene. © 2012 Academy Publisher.
WOS研究方向	Computer Science
语种	英语
出版者	Academy Publisher
WOS记录号	WOS:000218143900012
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/111765]
专题	兰州理工大学
作者单位	1.PLA troops of 91666, Zhoushan Zhejiang 316000, China 2.Manufacturing Engineering Technology Research Center of Gansu, Lanzhou, China; 3.Key Laboratory of Gansu Advanced Control for Industrial Processes, Lanzhou, China; 4.College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, China; 5.College of Computer and Communication, Lanzhou University of Technology, Lanzhou, China;
推荐引用方式 GB/T 7714	Cao, Jie,Li, Wei,Wu, Di. Multi-feature fusion tracking based on a new particle filter[J]. Journal of Computers (Finland),2012,7(12):2939-2947.
APA	Cao, Jie,Li, Wei,&Wu, Di.(2012).Multi-feature fusion tracking based on a new particle filter.Journal of Computers (Finland),7(12),2939-2947.
MLA	Cao, Jie,et al."Multi-feature fusion tracking based on a new particle filter".Journal of Computers (Finland) 7.12(2012):2939-2947.