Real-time Lane-wise Traffic Monitoring in Optimal ROIs

TL;DR

This paper presents an automated system that learns lane locations and traffic directions from highway camera feeds in real-time, enabling continuous lane-specific traffic data collection for improved traffic management and safety.

Contribution

It introduces a novel method for automatic lane and traffic direction detection from PTZ camera feeds, adapting to camera angle and zoom changes.

Findings

Real-time lane detection accuracy demonstrated.

Continuous lane-specific traffic data collected.

System adapts to camera angle and zoom variations.

Abstract

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.