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Discriminative feature selection for visual tracking
Ma JK(马俊凯); Luo HB(罗海波); Zhou, Wei; Song YC(宋颖超); Hui B(惠斌); Chang Z(常铮)
作者部门光电信息技术研究室
会议名称6th Conference on Advances in Optoelectronics and Micro/Nano-Optics, AOM 2017
会议日期April 23-26, 2017
会议地点Nanjing, China
会议主办者Jiangsu Optical Society; Southeast University; The Optical Society of America
会议录名称6th Conference on Advances in Optoelectronics and Micro/Nano-Optics
出版者IOP
出版地Bristol, UK
2017
页码1-8
收录类别EI ; CPCI(ISTP)
EI收录号20172803930014
WOS记录号WOS:000412799900046
产权排序1
ISSN号1742-6588
摘要Visual tracking is an important role in computer vision tasks. The robustness of tracking algorithm is a challenge. Especially in complex scenarios such as clutter background, illumination variation and appearance changes etc. As an important component in tracking algorithm, the appropriateness of feature is closed related to the tracking precision. In this paper, an online discriminative feature selection is proposed to provide the tracker the most discriminative feature. Firstly, a feature pool which contains different information of the image such as gradient, gray value and edge is built. And when every frame is processed during tracking, all of these features will be extracted. Secondly, these features are ranked depend on their discrimination between target and background and the highest scored feature is chosen to represent the candidate image patch. Then, after obtaining the tracking result, the target model will be update to adapt the appearance variation. The experiment show that our method is robust when compared with other state-of-the-art algorithms. © Published under licence by IOP Publishing Ltd.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/20796
专题光电信息技术研究室
通讯作者Ma JK(马俊凯)
作者单位1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China
2.University of Chinese Academy of Sciences, Beijing, China
3.Key Laboratory of Opto-Electronic Information Processing CAS, Shenyang, China
4.AVIC Jiangxi HONGDU Aviation Industry Group LTD, Nanchang, China
推荐引用方式
GB/T 7714
Ma JK,Luo HB,Zhou, Wei,et al. Discriminative feature selection for visual tracking[C]//Jiangsu Optical Society; Southeast University; The Optical Society of America. Bristol, UK:IOP,2017:1-8.
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