Real time object detection, tracking and classification in monocular image sequences of road traffic scenes

Abstract

Automatic traffic scene analysis is very interesting in the context of traffic planing and monitoring. In cooperation with the traffic and transport research group at the University of Kaiserslautern we conceived and implemented an automatic real time object detection, tracking and classification system working on color image sequences, taken by a static camera. The system is employed by researcher to detect conflict situations in traffic scenes. The main requirements for the system were real time ability and implementation on cheap standard hardware.