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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Kejun Wang, Haolin Liu, Meichen Xing, Xianglei Han, Tian |
| Abstract | Person re-identification (Re-ID) is a fundamental subject in the field of the computer vision technologies. The traditional methods of person Re-ID have difficulty in solving the problems of person illumination, occlusion and attitude change under complex background. Meanwhile, the introduction of deep learning opens a new way of person Re-ID research and becomes a hot spot in this field. This study reviews the traditional methods of person Re-ID, then the authors focus on the related papers about different person Re-ID frameworks on the basis of deep learning, and discusses their advantages and disadvantages. Finally, they propose the direction of further research, especially the prospect of person Re-ID methods based on deep learning. |
| Starting Page | 219 |
| Ending Page | 227 |
| Page Count | 9 |
| Volume Number | 3 |
| e-ISSN | 24682322 |
| Issue Number | Issue 4, Dec (2018) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/trit/3/4 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/trit.2018.1001 |
| Journal | CAAI Transactions on Intelligence Technology |
| Publisher | The Institution of Engineering and Technology Chongqing University of Technology Chinese Association for Artificial Intelligence |
| Publisher Date | 2018-06-14 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution-Non Commercial-No Derivs License (http://creativecommons.org/licenses/by-nc-nd/3.0/) |
| Subject Keyword | Attitude Change Computer Vision Computer Vision And Image Processing Technique Computer Vision Technology Deep Learning Feature Extraction Feature-based Method Image Matching Image Recognition Image Representation Knowledge Engineering Technique Learning in AI Metric-based Method Occlusion Person Illumination Person Matching Person Re-ID Frameworks Person Re-ID Method Person Re-ID Research Person Reidentification Person Representation |
| Content Type | Text |
| Resource Type | Article |
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