Real-time Lane-wise Traffic Monitoring in Optimal ROIs

Autor: Qiu, Mei, Lin, Wei, Christopher, Lauren Ann, Chien, Stanley, Chen, Yaobin, Hu, Shu
Rok vydání: 2024
Předmět:
Druh dokumentu: Working Paper
Popis: 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.
Databáze: arXiv