中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Discriminative Reverse Sparse Tracking via Weighted Multitask Learning

文献类型:期刊论文

作者Yang, Yehui; Hu, Wenrui; Zhang, Wensheng; Zhang, Tianzhu; Xie, Yuan; Wensheng Zhang
刊名IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY
出版日期2017-05-01
卷号27期号:5页码:1031-1042
关键词Sparse Representation Visual Tracking Weighted Multitask Learning
DOI10.1109/TCSVT.2015.2513699
文献子类Article
英文摘要Multitask learning has shown great potentiality for visual tracking under a particle filter framework. However, the recent multitask trackers, which exploit the similarity between all candidates by imposing group sparsity on the candidate representations, have a limitation in robustness due to the diverse sampling of candidates. To deal with this issue, we propose a discriminative reverse sparse tracker via weighted multitask learning. Our positive and negative templates are retained from the target observations and the background, respectively. Here, the templates are reversely represented via the candidates, and the representation of each positive template is viewed as a single task. Compared with existing multitask trackers, the proposed algorithm has the following advantages. First, we regularize the target representations with the similar to 2,1-norm to exploit the similarity shared by the positive templates, which is reasonable because of the target appearance consistency in the tracking process. Second, the valuable prior relationship between the candidates and the templates is introduced into the representation model by a weighted multitask learning scheme. Third, both target information and background information are integrated to generate discriminative scores for enhancing the proposed tracker. The experimental results on challenging sequences show that the proposed algorithm is effective and performs favorably against 12 state-of-the-art trackers.
WOS关键词ROBUST VISUAL TRACKING ; OBJECT TRACKING ; FACE RECOGNITION ; REPRESENTATION
WOS研究方向Engineering
语种英语
WOS记录号WOS:000400907500008
资助机构National Natural Science Foundation of China(61402480 ; National High Technology Research and Development Program of China(2013AA01A607) ; 6150051467 ; U1135005)
源URL[http://ir.ia.ac.cn/handle/173211/12256]  
专题精密感知与控制研究中心_人工智能与机器学习
通讯作者Wensheng Zhang
作者单位Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714
Yang, Yehui,Hu, Wenrui,Zhang, Wensheng,et al. Discriminative Reverse Sparse Tracking via Weighted Multitask Learning[J]. IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,2017,27(5):1031-1042.
APA Yang, Yehui,Hu, Wenrui,Zhang, Wensheng,Zhang, Tianzhu,Xie, Yuan,&Wensheng Zhang.(2017).Discriminative Reverse Sparse Tracking via Weighted Multitask Learning.IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY,27(5),1031-1042.
MLA Yang, Yehui,et al."Discriminative Reverse Sparse Tracking via Weighted Multitask Learning".IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY 27.5(2017):1031-1042.

入库方式: OAI收割

来源:自动化研究所

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