Deep learning for multiple object tracking
The past several years has seen the rapid development of multiple object tracking object detection and re-identification. Most of work focuses on pedestrian body tracking with one-shot anchor-free structure and few work is conducted on face tracking. The main reason is that the pedestrian tracking a...
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| 格式: | Thesis-Master by Coursework |
| 語言: | English |
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Nanyang Technological University
2022
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| 在線閱讀: | https://hdl.handle.net/10356/161058 |
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| 機構: | Nanyang Technological University |
| 語言: | English |