Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification
文献类型：期刊论文
| 作者 | Zhang, Wei2 ; He, Xuanyu2; Lu, Weizhi2; Qiao, Hong1; Li, Yibin2
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| 刊名 | IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
 |
| 出版日期 | 2019-12-01 |
| 卷号 | 30期号:12页码:3847-3852 |
| 关键词 | Feature extraction Task analysis Cameras Noise measurement Learning systems Reinforcement learning Feature aggregation reinforcement learning (RL) sequential decision making video-based person re-identification (re-id) |
| ISSN号 | 2162-237X |
| DOI | 10.1109/TNNLS.2019.2899588 |
| 通讯作者 | He, Xuanyu(hexiffer@outlook.com) |
| 英文摘要 | Video-based person re-identification (re-id) matches two tracks of persons from different cameras. Features are extracted from the images of a sequence and then aggregated as a track feature. Compared to existing works that aggregate frame features by simply averaging them or using temporal models such as recurrent neural networks, we propose an intelligent feature aggregate method based on reinforcement learning. Specifically, we train an agent to determine which frames in the sequence should be abandoned in the aggregation, which can be treated as a decision making process. By this way, the proposed method avoids introducing noisy information of the sequence and retains these valuable frames when generating a track feature. On benchmark data sets, experimental results show that our method can boost the re-id accuracy obviously based on the state-of-the-art models. |
| 资助项目 | National Key Research and Development Plan of China[2017YFB1300205] ; NSFC[61573222] ; NSFC[61801264] ; Major Research Program of Shandong Province[2018CXGC1503] ; Fundamental Research Funds of Shandong University[2016JC014] ; Basic Research Program of Shenzhen[JCYJ20170307153635551] |
| WOS研究方向 | Computer Science ; Engineering |
| 语种 | 英语 |
| WOS记录号 | WOS:000502762600028 |
| 出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
| 资助机构 | National Key Research and Development Plan of China ; NSFC ; Major Research Program of Shandong Province ; Fundamental Research Funds of Shandong University ; Basic Research Program of Shenzhen |
| 源URL | [http://ir.ia.ac.cn/handle/173211/29439]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_机器人应用与理论组 |
| 通讯作者 | He, Xuanyu |
| 作者单位 | 1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China 2.Shandong Univ, Sch Control Sci & Engn, Jinan 250100, Shandong, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Wei,He, Xuanyu,Lu, Weizhi,et al. Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification[J]. IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,2019,30(12):3847-3852. |
| APA | Zhang, Wei,He, Xuanyu,Lu, Weizhi,Qiao, Hong,&Li, Yibin.(2019).Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification.IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS,30(12),3847-3852. |
| MLA | Zhang, Wei,et al."Feature Aggregation With Reinforcement Learning for Video-Based Person Re-Identification".IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS 30.12(2019):3847-3852. |
入库方式： OAI收割
来源：自动化研究所
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