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
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| 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 |
| DOI | 10.1109/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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