An HMM-Based Segmentation Method for Traffic Monitoring Movies.

Jien Kato, Toyohide Watanabe, Sébastien Joga, Jens Rittscher, Andrew Blake

Abstract: Shadows of moving objects often obstruct robust visual tracking. We propose an HMM-based segmentation method which classifies in real time each pixel or region into three categories: shadows, foreground, and background objects. In the case of traffic monitoring movies, the effectiveness of the proposed method has been proven through experimental results.