Deep learning for vehicle ReID in urban traffic monitoring with visual and temporal information
This study introduces a novel deep learning framework that enhances vehicle re-identification (ReID) accuracy by integrating visual and temporal data. Vehicle ReID, which identifies target vehicles from large volumes of traffic data, is essential for continuous tracking in large-scale monitoring sce...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Tsinghua University Press
2026-03-01
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| Col·lecció: | Communications in Transportation Research |
| Matèries: | |
| Accés en línia: | https://www.sciopen.com/article/10.26599/COMMTR.2026.9640005 |
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