Frame Rate Latency Reduction for Real-time Vehicle Tracking using Network Cameras

Abstract

Traffic monitoring and vehicle counting systems that use surveillance cameras employ several computer vision techniques, one of which is object tracking, which approximates the trajectory of the vehicle throughout the scene. However, a major challenge in processing videos from network camera feeds is the irregular and low frame rates, affecting the performance of object tracking. In this paper, we present a concurrent implementation framework intended to increase the input network video frame rate.