Real-time Lane-wise Traffic Monitoring in Optimal ROIs
Fuente:
arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866910419504857088 |
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| author | Qiu, Mei Lin, Wei Christopher, Lauren Ann Chien, Stanley Chen, Yaobin Hu, Shu |
| author_facet | Qiu, Mei Lin, Wei Christopher, Lauren Ann Chien, Stanley Chen, Yaobin Hu, Shu |
| contents | In the US, thousands of Pan, Tilt, and Zoom (PTZ) traffic cameras monitor highway conditions. There is a great interest in using these highway cameras to gather valuable road traffic data to support traffic analysis and decision-making for highway safety and efficient traffic management. However, there are too many cameras for a few human traffic operators to effectively monitor, so a fully automated solution is desired. This paper introduces a novel system that learns the locations of highway lanes and traffic directions from these camera feeds automatically. It collects real-time, lane-specific traffic data continuously, even adjusting for changes in camera angle or zoom. This facilitates efficient traffic analysis, decision-making, and improved highway safety. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_15212 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Real-time Lane-wise Traffic Monitoring in Optimal ROIs Qiu, Mei Lin, Wei Christopher, Lauren Ann Chien, Stanley Chen, Yaobin Hu, Shu Computer Vision and Pattern Recognition Image and Video Processing In the US, thousands of Pan, Tilt, and Zoom (PTZ) traffic cameras monitor highway conditions. There is a great interest in using these highway cameras to gather valuable road traffic data to support traffic analysis and decision-making for highway safety and efficient traffic management. However, there are too many cameras for a few human traffic operators to effectively monitor, so a fully automated solution is desired. This paper introduces a novel system that learns the locations of highway lanes and traffic directions from these camera feeds automatically. It collects real-time, lane-specific traffic data continuously, even adjusting for changes in camera angle or zoom. This facilitates efficient traffic analysis, decision-making, and improved highway safety. |
| title | Real-time Lane-wise Traffic Monitoring in Optimal ROIs |
| topic | Computer Vision and Pattern Recognition Image and Video Processing |
| url | https://arxiv.org/abs/2404.15212 |