Anti-occlusion algorithm for object tracking based on multi-feature fusion

doi:10.4028/www.scientific.net/AMM.610.393

CORC > 兰州理工大学 > 兰州理工大学

	Anti-occlusion algorithm for object tracking based on multi-feature fusion
	Cao, Jie; Liang, Xuan
	2014
会议日期	April 18, 2014 - April 20, 2014
会议地点	Changsha, China
关键词	Computer applications Intelligent systems Target tracking Anti-occlusion Multi features Object Tracking Particle filter Template updates
卷号	610
DOI	10.4028/www.scientific.net/AMM.610.393
页码	393-400
英文摘要	Complex background, especially when the object is similar to the background in color or the target gets blocked, can easily lead to tracking failure. Therefore, a fusion algorithm based on features confidence and similarity was proposed, it can adaptively adjust fusion strategy when occlusion occurs. And this confidence is used among occlusion detection, to overcome the problem of inaccurate occlusion determination when blocked by analogue. The experimental results show that the proposed algorithm is more robust in the case of the cover, but also has good performance under other complex scenes. © (2014) Trans Tech Publications, Switzerland.
会议录	Applied Mechanics and Materials
会议录出版者	Trans Tech Publications Ltd
语种	英语
ISSN号	16609336
内容类型	会议论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/117342]
专题	兰州理工大学
作者单位	School of Computer and Communication, Lanzhou University of Technology, Lanzhou, 730050, China
推荐引用方式 GB/T 7714	Cao, Jie,Liang, Xuan. Anti-occlusion algorithm for object tracking based on multi-feature fusion[C]. 见:. Changsha, China. April 18, 2014 - April 20, 2014.