Detection of Moving Violations
Wencheng Wu, Orhan Bulan, Edgar A. Bernal, Robert P. Loce · 2017
Law enforcement agencies and municipalities are increasing the deployment of camera-based roadway monitoring systems with the goal of reducing unsafe driving behavior. While some camera-based systems use the acquired images and videos solely for evidentiary purposes, there is increasing use of computer vision techniques for automating the detection of violations. The most commonly monitored violations include speeding, running red lights or stop signs, wrong-way driving, and making illegal turns. Most traffic law enforcement applications in roadway computer vision systems involve analyzing well-defined and acceptable trajectories and speeds, which leads to clearly defined rules and detections. In some cases, the detections are binary, such as in red light enforcement (stopped or not). Other applications require increased accuracy and precision, such as detecting speed violations and applying a fine according to the estimated vehicle speed. There are other deployed applications where the violation involves less definitive criteria, such as reckless driving. This chapter presents various applications, giving the motivation, system requirements, methodology, and effectiveness. The more common applications of speed and stop light are described in detail, while the less common ones are briefly noted.