Institutional Repository of Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Siamese Regression Tracking With Reinforced Template Updating | |
Zhao, Fei1,2; Zhang, Ting3; Song, Yibing4; Tang, Ming2,5; Wang, Xiaobo1; Wang, Jinqiao2,6,7 | |
发表期刊 | IEEE TRANSACTIONS ON IMAGE PROCESSING |
ISSN | 1057-7149 |
2021 | |
卷号 | 30页码:628-640 |
通讯作者 | Wang, Jinqiao(jqwang@nlpr.ia.ac.cn) |
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. |
关键词 | Target tracking Training Reinforcement learning Visualization Task analysis Benchmark testing Head Siamese regression tracking actor-critic network reinforcement learning |
DOI | 10.1109/TIP.2020.3036723 |
收录类别 | SCI |
语种 | 英语 |
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] |
项目资助者 | Research and Development Projects in the Key Areas of Guangdong Province ; National Natural Science Foundation of China |
WOS研究方向 | Computer Science ; Engineering |
WOS类目 | Computer Science, Artificial Intelligence ; Engineering, Electrical & Electronic |
WOS记录号 | WOS:000597161500002 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
七大方向——子方向分类 | 目标检测、跟踪与识别 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/42665 |
专题 | 模式识别国家重点实验室_图像与视频分析 |
通讯作者 | Wang, Jinqiao |
作者单位 | 1.Alibaba Grp, Hangzhou 311100, Peoples R China 2.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China 3.CEIEC, Res & Dev Ctr, Beijing 100036, Peoples R China 4.Tencent AI Lab, Shenzhen 518172, Peoples R China 5.Shenzhen Infinova Ltd, Shenzhen 518110, Peoples R China 6.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 7.ObjectEye Inc, Beijing 100080, Peoples R China |
第一作者单位 | 模式识别国家重点实验室 |
通讯作者单位 | 模式识别国家重点实验室 |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论