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Siamese Regression Tracking With Reinforced Template Updating

文献类型：期刊论文

作者Zhao, Fei5,6; Zhang, Ting7; Song, Yibing1; Tang, Ming2,5; Wang, Xiaobo6; Wang, Jinqiao3,4,5
刊名IEEE TRANSACTIONS ON IMAGE PROCESSING
出版日期2021
卷号30页码:628-640
关键词Target tracking Training Reinforcement learning Visualization Task analysis Benchmark testing Head Siamese regression tracking actor-critic network reinforcement learning
ISSN号1057-7149
DOI10.1109/TIP.2020.3036723
通讯作者Wang, Jinqiao(jqwang@nlpr.ia.ac.cn)
英文摘要Siamese networks are prevalent in visual tracking because of the efficient localization. The networks take both a search patch and a target template as inputs where the target template is usually from the initial frame. Meanwhile, Siamese trackers do not update network parameters online for real-time efficiency. The fixed target template and CNN parameters make Siamese trackers not effective to capture target appearance variations. In this paper, we propose a template updating method via reinforcement learning for Siamese regression trackers. We collect a series of templates and learn to maintain them based on an actor-critic framework. Among this framework, the actor network that is trained by deep reinforcement learning effectively updates the templates based on the tracking result on each frame. Besides the target template, we update the Siamese regression tracker online to adapt to target appearance variations. The experimental results on the standard benchmarks show the effectiveness of both template and network updating. The proposed tracker SiamRTU performs favorably against state-of-the-art approaches.
资助项目Research and Development Projects in the Key Areas of Guangdong Province[2020B010165001] ; National Natural Science Foundation of China[61772527] ; National Natural Science Foundation of China[61976210] ; National Natural Science Foundation of China[61806200] ; National Natural Science Foundation of China[61702510] ; National Natural Science Foundation of China[61876086] ; National Natural Science Foundation of China[62076235]
WOS研究方向Computer Science ; Engineering
语种英语
WOS记录号WOS:000597161500002
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Research and Development Projects in the Key Areas of Guangdong Province ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/42664]  
专题自动化研究所_模式识别国家重点实验室_图像与视频分析团队
通讯作者Wang, Jinqiao
作者单位1.Tencent AI Lab, Shenzhen 518172, Peoples R China
2.Shenzhen Infinova Ltd, Shenzhen 518110, Peoples R China
3.ObjectEye Inc, Beijing 100080, Peoples R China
4.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
5.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
6.Alibaba Grp, Hangzhou 311100, Peoples R China
7.CEIEC, Res & Dev Ctr, Beijing 100036, Peoples R China
推荐引用方式
GB/T 7714		 Zhao, Fei,Zhang, Ting,Song, Yibing,et al. Siamese Regression Tracking With Reinforced Template Updating[J]. IEEE TRANSACTIONS ON IMAGE PROCESSING,2021,30:628-640.
APA Zhao, Fei,Zhang, Ting,Song, Yibing,Tang, Ming,Wang, Xiaobo,&Wang, Jinqiao.(2021).Siamese Regression Tracking With Reinforced Template Updating.IEEE TRANSACTIONS ON IMAGE PROCESSING,30,628-640.
MLA Zhao, Fei,et al."Siamese Regression Tracking With Reinforced Template Updating".IEEE TRANSACTIONS ON IMAGE PROCESSING 30(2021):628-640.

入库方式： OAI收割

来源：自动化研究所

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