This work presents a real-time 3D tracking system based on stereovision. The camera system is positioned on a Pan and Tilt platform in order to continuously track a detected target. Particle filters are used for tracking and a pattern recognition approach is performed in order to keep the focus on the target of interest. The 3D position of the target relative to the stereovision frame is computed using stereovision techniques. This computed position gives the possibility of following the target position in a georeferenced site map in real-time.
Tests conducted in outdoor scenarios show the efficiency of the proposed approach.