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P2T: Part-to-Target Tracking via Deep Regression Learning

文献类型：期刊论文

作者Gao, Junyu1,2; Zhang, Tianzhu1,2; Yang, Xiaoshan1,2; Xu, Changsheng1,2
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2018-06
卷号27期号:6页码:3074-3086
关键词Visual Tracking Deep Learning Part-based Tracker
DOI10.1109/TIP.2018.2813166
文献子类Article
英文摘要Most existing part-based tracking methods are part-to-part trackers, which usually have two separated steps including the part matching and target localization. Different from existing methods, in this paper, we propose a novel part-to-target (P2T) tracker in a unified fashion by inferring target location from parts directly. To achieve this goal, we propose a novel deep regression model for P2T regression in an end-to-end framework via convolutional neural networks. The proposed model is designed not only to exploit the part context information to preserve object spatial layout structure, but also to learn part reliability to emphasize part importance for the robust P2T regression. We evaluate the proposed tracker on four challenging benchmark sequences, and extensive experimental results demonstrate that our method performs favorably against state-of-the-art trackers because of the powerful capacity of the proposed deep regression model.
WOS关键词ROBUST VISUAL TRACKING ; OBJECT TRACKING ; BENCHMARK ; MODEL
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000428930600014
资助机构National Natural Science Foundation of China(61432019 ; Key Research Program of Frontier Sciences, CAS(QYZDJ-SSW-JSC039) ; Beijing Natural Science Foundation(4172062) ; 61572498 ; 61532009 ; 61702511 ; 61572296)
源URL[http://ir.ia.ac.cn/handle/173211/21999]  
专题自动化研究所_模式识别国家重点实验室_多媒体计算与图形学团队
作者单位1.National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences
2.University of Chinese Academy of Sciences
推荐引用方式
GB/T 7714		 Gao, Junyu,Zhang, Tianzhu,Yang, Xiaoshan,et al. P2T: Part-to-Target Tracking via Deep Regression Learning[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2018,27(6):3074-3086.
APA Gao, Junyu,Zhang, Tianzhu,Yang, Xiaoshan,&Xu, Changsheng.(2018).P2T: Part-to-Target Tracking via Deep Regression Learning.IEEE TRANSACTIONS ON IMAGE PROCESSING,27(6),3074-3086.
MLA Gao, Junyu,et al."P2T: Part-to-Target Tracking via Deep Regression Learning".IEEE TRANSACTIONS ON IMAGE PROCESSING 27.6(2018):3074-3086.

入库方式： OAI收割

来源：自动化研究所

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