2024/03/29 by Mei Qiu, Wei Lin, Qiu, Mei +9 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Energy Efficient Wireless Sensor Networks #FOS: Computer and information sciences #FOS: Electrical engineering #Fault Detection and Control Systems #Image and Video Processing (eess.IV) #Network Time Synchronization Technologies #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2404.15212
openalex publication_date 2024/03/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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.