Fully Automatic Real-Time 3D Object Tracking using Active Contour and Appearance Models

Abstract

This paper presents an efficient, robust and fully automatic real-time system for 3D object pose tracking in image sequences. The developed application integrates two main components: an extended and optimized implementation of a state-of-the-art local curve fitting algorithm, and a robust global re-initialization module based on point feature matching. By combining the two main components, together with a trajectory coherence and image cross-correlation check modules, our system achieves full automatic and robust object tracking in real world situations, requiring very small manual intervention from the user. The developed application relies upon a few standard libraries available on most platforms, and runs at video frame rate on a PC with standard hardware equipment.