Learning Deep RGBT Representations for Robust Person Re-identification
文献类型：期刊论文
| 作者 | Ai-Hua Zheng; Zi-Han Chen; Cheng-Long Li; Jin Tang; Bin Luo |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2021 |
| 卷号 | 18期号:3页码:443-456 |
| 关键词 | Person re-identification (Re-ID) thermal infrared generative networks attention deep learning |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-020-1262-z |
| 英文摘要 | Person re-identification (Re-ID) is the scientific task of finding specific person images of a person in a non-overlapping camera networks, and has achieved many breakthroughs recently. However, it remains very challenging in adverse environmental conditions, especially in dark areas or at nighttime due to the imaging limitations of a single visible light source. To handle this problem, we propose a novel deep red green blue (RGB)-thermal (RGBT) representation learning framework for a single modality RGB person Re-ID. Due to the lack of thermal data in prevalent RGB Re-ID datasets, we propose to use the generative adversarial network to translate labeled RGB images of person to thermal infrared ones, trained on existing RGBT datasets. The labeled RGB images and the synthetic thermal images make up a labeled RGBT training set, and we propose a cross-modal attention network to learn effective RGBT representations for person Re-ID in day and night by leveraging the complementary advantages of RGB and thermal modalities. Extensive experiments on Market1501, CUHK03 and DukeMTMC-reID datasets demonstrate the effectiveness of our method, which achieves state-of-the-art performance on all above person Re-ID datasets |
| 源URL | [http://ir.ia.ac.cn/handle/173211/44293]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | Anhui Provincial Key Laboratory of Multi-modal Cognitive Computation, School of Computer Science and Technology, Anhui University, Hefei 230601, China |
| 推荐引用方式 GB/T 7714 | Ai-Hua Zheng,Zi-Han Chen,Cheng-Long Li,et al. Learning Deep RGBT Representations for Robust Person Re-identification[J]. International Journal of Automation and Computing,2021,18(3):443-456. |
| APA | Ai-Hua Zheng,Zi-Han Chen,Cheng-Long Li,Jin Tang,&Bin Luo.(2021).Learning Deep RGBT Representations for Robust Person Re-identification.International Journal of Automation and Computing,18(3),443-456. |
| MLA | Ai-Hua Zheng,et al."Learning Deep RGBT Representations for Robust Person Re-identification".International Journal of Automation and Computing 18.3(2021):443-456. |
入库方式： OAI收割
来源：自动化研究所
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