Single target tracking algorithm based on multi-feature fusion

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 光电信息技术研究室

	Single target tracking algorithm based on multi-feature fusion
	Yue, Yang 2; Wang, Guogang 2; Liu YP(刘云鹏)1
	2020
会议日期	August 25-27, 2020
会议地点	Xiamen, China
关键词	Target tracking Multi-feature fusion Correlation filtering Color features
页码	1-10
英文摘要	Aiming at the problems of target scale change, color similarity and occlusion during target tracking, this paper proposes a single target tracking algorithm based on the fusion feature of color feature (CN) and direction gradient histogram (HOG). Under the relevant filtering and tracking framework, the original RGB color space is mapped to the color attribute space to reduce the target color from being affected by environmental changes during the tracking process. The adaptive component dimensionality reduction through principal component analysis (PCA) method, features The number of channels drops from 10 to 2, and the cost of crossing different feature subspaces is increased by smoothing constraints. At the same time, the direction gradient histogram is extracted, and the feature map is calculated by kernel correlation filtering to obtain the correlation response map, and the maximum response value is found from the response map to determine the target position. 36 groups of color video sequences were selected on the OTB standard data set for experiments. The popular correlation filter tracking algorithm was compared. The experimental results show that the algorithm has high recognition accuracy and can be used in complex environments such as illumination changes, target occlusion and deformation. Stable tracking target. © 2020 SPIE.
产权排序	2
会议录	AOPC 2020: Optical Sensing and Imaging Technology
会议录出版者	SPIE
会议录出版地	Bellingham, USA
语种	英语
ISSN号	0277-786X
ISBN号	978-1-5106-3955-3
WOS记录号	WOS:000651815600026
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/28353]
专题	沈阳自动化研究所_光电信息技术研究室
通讯作者	Yue, Yang
作者单位	1.Shenyang Institute of Automation Chinese Academy of Sciences, China 2.School of Information Engineering, Shenyang University of Chemical Technology, China
推荐引用方式 GB/T 7714	Yue, Yang,Wang, Guogang,Liu YP. Single target tracking algorithm based on multi-feature fusion[C]. 见:. Xiamen, China. August 25-27, 2020.