Multi-person tracking based on video information fusion

doi:10.4028/www.scientific.net/AMR.187.452

CORC > 兰州理工大学 > 兰州理工大学

	Multi-person tracking based on video information fusion
	Cao, Jie; Zheng, Jing Run
	2011
会议日期	January 27, 2011 - January 28, 2011
会议地点	Shenzhen, China
关键词	Color Data fusion Information fusion Nonlinear filtering Video recording Contour Face color Multitarget Particle filter Video tracking
卷号	187
DOI	10.4028/www.scientific.net/AMR.187.452
页码	452-457
英文摘要	In order to solve the problem that human objects in complex environments would be affected by illumination, deformation, moving, etc, a multi-feature information fusion based video tracking approach was proposed. In a particle filter framework, both the face color information and the head contour cue were fused effectively.This method overcomed the instability brought by using a single measurement source, and improved the tracking accuracy and reliability. Experiments on real video sequences demonstrate that in the same case our approach has more reliable performance than trackers utilizing only color or contour information with particle filter. © (2011) Trans Tech Publications.
会议录	Advanced Materials Research
会议录出版者	Trans Tech Publications, P.O. Box 1254, Clausthal-Zellerfeld, D-38670, Germany
语种	英语
ISSN号	10226680
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/116271]
专题	兰州理工大学
作者单位	College of Electrical and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Cao, Jie,Zheng, Jing Run. Multi-person tracking based on video information fusion[C]. 见:. Shenzhen, China. January 27, 2011 - January 28, 2011.