Dual Graph Regularized Discriminative Multi-task Tracker
文献类型：期刊论文
| 作者 | Tang YD(唐延东) ; Fan BJ(范保杰); Cong Y(丛杨)
|
| 刊名 | IEEE Transactions on Multimedia
 |
| 出版日期 | 2018 |
| 页码 | 1-14 |
| 关键词 | Multi-task tracker Discriminative low rank learning Geometric structure information Graph regularization, Collaborate metric |
| ISSN号 | 1520-9210 |
| 产权排序 | 2 |
| 通讯作者 | Fan BJ(范保杰) |
| 中文摘要 | Multi-task and low rank learning methods have attracted increasing attention for visual tracking. However, most trackers only focus on learning appearance subspace basis or the sparse low rankness of representation, thus do not make full use of the structure information among and inside target candidates (or samples). In this work, we propose a dual graph regularized discriminative low rank learning for multi-task tracker, which integrates the discriminative subspace and intrinsic geometric structures among tasks. By constructing double graphs regula- tions from two views of multi-task observation, the developed modal not only exploits the intrinsic relationship among tasks, and preserves the spatial layout structure among the local patches inside each candidate, but also learns the salient features of the target samples. This operation is benefit to having good target representation and improving the performance of the tracker. Moreover, our developed tracker is a collaborate multi- task tracking model, and learns the discriminative subspace with adaptive dimension and optimal classifier simultaneously. Then, a collaborate metric is developed to find the best candidate, which integrates both classification reliability and representation accu- racy. Encouraging experimental results on a large set of public video sequences justify that our tracker performs favourably against many other state-of-the-art trackers. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.sia.cn/handle/173321/21531]  |
| 专题 | 沈阳自动化研究所_机器人学研究室 |
| 作者单位 | 1.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, shenyang China 2.Nanjing University of Posts and Telecommunications, 12577 Nanjing China 210003 |
| 推荐引用方式 GB/T 7714 | Tang YD,Fan BJ,Cong Y. Dual Graph Regularized Discriminative Multi-task Tracker[J]. IEEE Transactions on Multimedia,2018:1-14. |
| APA | Tang YD,Fan BJ,&Cong Y.(2018).Dual Graph Regularized Discriminative Multi-task Tracker.IEEE Transactions on Multimedia,1-14. |
| MLA | Tang YD,et al."Dual Graph Regularized Discriminative Multi-task Tracker".IEEE Transactions on Multimedia (2018):1-14. |
入库方式： OAI收割
来源：沈阳自动化研究所
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