A multi-camera collaboration framework for real-time vehicle detection and license plate recognition on highways

With the proliferation of advanced computer vision techniques, machine vision-based Intelligent Transportation System (ITS) will be the next wave of technologies for better traffic management and monitoring. In this paper, we present a reconfigurable and collaborative multi-camera framework for vehicle detection and license plate recognition. The synchronization between multiple cameras enable us envision in providing real-time vehicle detection and license plate recognition for the best usage of system resources while bolstering for high vehicle detection rate and license plate recognition rate. In addition, we also describe our novel 7x24 hours vehicle detection methods for crunching continuous video stream while synchronizing with license plate recognition software. We evaluated our platform and detection algorithms on a busy highway and show that we can provide up to 98% of real-time vehicle detection rate and 96% of license plate recognition rate.