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Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning

文献类型：期刊论文

作者Yang, Yehui; Hu, Wenrui; Xie, Yuan; Zhang, Wensheng; Zhang, Tianzhu; Wensheng Zhang
刊名IEEE TRANSACTIONS ON CYBERNETICS
出版日期2017-02-01
卷号47期号:2页码:485-498
关键词Low-rank Sparse Representation Temporal Restriction Visual Tracking
DOI10.1109/TCYB.2016.2519532
文献子类Article
英文摘要An effective representation model, which aims to mine the most meaningful information in the data, plays an important role in visual tracking. Some recent particle-filter-based trackers achieve promising results by introducing the low-rank assumption into the representation model. However, their assumed low-rank structure of candidates limits the robustness when facing severe challenges such as abrupt motion. To avoid the above limitation, we propose a temporal restricted reverse-low-rank learning algorithm for visual tracking with the following advantages: 1) the reverse-low-rank model jointly represents target and background templates via candidates, which exploits the low-rank structure among consecutive target observations and enforces the temporal consistency of target in a global level; 2) the appearance consistency may be broken when target suffers from sudden changes. To overcome this issue, we propose a local constraint via (l)1,2 mixed-norm, which can not only ensures the local consistency of target appearance, but also tolerates the sudden changes between two adjacent frames; and 3) to alleviate the inference of unreasonable representation values due to outlier candidates, an adaptive weighted scheme is designed to improve the robustness of the tracker. By evaluating on 26 challenge video sequences, the experiments show the effectiveness and favorable performance of the proposed algorithm against 12 state-of-the-art visual trackers.
WOS关键词OBJECT TRACKING ; REPRESENTATION
WOS研究方向Computer Science
语种英语
WOS记录号WOS:000395476200019
资助机构National Natural Science Foundation of China(61402480 ; 61432008 ; 61472423 ; 61502495)
源URL[http://ir.ia.ac.cn/handle/173211/12257]  
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,Xie, Yuan,et al. Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(2):485-498.
APA Yang, Yehui,Hu, Wenrui,Xie, Yuan,Zhang, Wensheng,Zhang, Tianzhu,&Wensheng Zhang.(2017).Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning.IEEE TRANSACTIONS ON CYBERNETICS,47(2),485-498.
MLA Yang, Yehui,et al."Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning".IEEE TRANSACTIONS ON CYBERNETICS 47.2(2017):485-498.

入库方式： OAI收割

来源：自动化研究所

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