Particle filter object tracking algorithm based on color and gradient

doi:10.4028/www.scientific.net/AMR.926-930.3141

	Particle filter object tracking algorithm based on color and gradient
	He, Jiai; Li, Yong Na
	2014
会议日期	May 20, 2014 - May 21, 2014
会议地点	Qingdao, China
关键词	Algorithms Color Gradient methods Monte Carlo methods Feature fusion Illumination changes Particle filter Particle filter algorithms Weighted fusion
卷号	926-930
DOI	10.4028/www.scientific.net/AMR.926-930.3141
页码	3141-3144
英文摘要	With the robustness of a single color which is not high in standard particle filter tracking, a fusion of color and gradient particle filter algorithm is proposed. By the advantages of color described the target'global and gradients described the shape of structure, they are weighted fusion to form a new integrated histogram and applied to the particle filter framework. The experimental results show that compared with the traditional particle filter algorithm, the text of the algorithm can achieve relatively reliable target tracking under complicated background and illumination changes, with better robustness and reliability. © (2014) Trans Tech Publications, Switzerland.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications Ltd
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117317]
专题	计算机与通信学院
作者单位	School of Computer Technology and Communication, Lanzhou University of Technology, Lanzhou 730050, China
推荐引用方式 GB/T 7714	He, Jiai,Li, Yong Na. Particle filter object tracking algorithm based on color and gradient[C]. 见:. Qingdao, China. May 20, 2014 - May 21, 2014.