| Layered Multitask Tracker via Spatial-Temporal Laplacian Graph | |
| Fan, Baojie1; Li, Xiaomao2; Cong, Yang3 | |
| Corresponding Author | Fan, Baojie(jobfbj@gmail.com) |
| 2017-12-01 | |
| Source Publication | IEEE SIGNAL PROCESSING LETTERS
 |
| ISSN | 1070-9908 |
| Volume | 24Issue:12Pages:1768-1772 |
| Abstract | Most multitask trackers define the trace of each candidate as one task, and assume all tasks are equally related. Multitask learning is only evaluated on the current frame. In fact, these assumptions are limited, and ignore the multitask relationship in consecutive frames. In this letter, we propose a discriminative layered multitask tracker via spatial-temporal Laplacian graphs, which defines the layered tasks from a novel view, and naturally incorporates the global and local target information into reverse multitask tracking process. The spatial-temporal Laplacian graphs not only exploit the sequential consistent information of the target, but also make full use of the geometric structure corresponding to the tasks among the adjacent frames. Besides, l(0) norm constraint and labeling information are used to improve the tracking robustness. Encouraging experimental results on challenging sequences justify that the proposed method performs well both in accuracy and robustness against some related trackers. |
| Keyword | Object tracking reverse layered multitask learning spatial-temporal Laplacian graphs weighted similarity map |
| Funding Organization | China Postdoctoral Science Foundation ; Foundation of Nanjing University of Tele. and Com. |
| DOI | 10.1109/LSP.2017.2756998 |
| Indexed By | SCI |
| Language | 英语 |
| Funding Project | China Postdoctoral Science Foundation[2015M571785] ; China Postdoctoral Science Foundation[2016T90484] ; Foundation of Nanjing University of Tele. and Com.[NY215148] ; Foundation of Nanjing University of Tele. and Com.[NY217061] |
| WOS Research Area | Engineering |
| WOS Subject | Engineering, Electrical & Electronic |
| WOS ID | WOS:000413334300003 |
| Publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | http://ir.imr.ac.cn/handle/321006/127020 |
| Collection | 中国科学院金属研究所 |
| Corresponding Author | Fan, Baojie |
| Affiliation | 1.Nanjing Univ Posts & Telecommun, Automat Coll, Nanjing, Jiangsu, Peoples R China 2.Shanghai Univ, Shanghai, Peoples R China 3.Chinese Acad Sci, State Key Lab Robot, Shenyang, Peoples R China |
| Recommended Citation GB/T 7714 | Fan, Baojie,Li, Xiaomao,Cong, Yang. Layered Multitask Tracker via Spatial-Temporal Laplacian Graph[J]. IEEE SIGNAL PROCESSING LETTERS,2017,24(12):1768-1772. |
| APA | Fan, Baojie,Li, Xiaomao,&Cong, Yang.(2017).Layered Multitask Tracker via Spatial-Temporal Laplacian Graph.IEEE SIGNAL PROCESSING LETTERS,24(12),1768-1772. |
| MLA | Fan, Baojie,et al."Layered Multitask Tracker via Spatial-Temporal Laplacian Graph".IEEE SIGNAL PROCESSING LETTERS 24.12(2017):1768-1772. |
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