AbstractÐShadows 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.
Kato REF used HMM-based segmentation method to classify objects in traffic scenes as shadows, foreground or background objects.
An HMM-based segmentation method for traffic monitoring movies
IEEE Trans. on PAMI
Computer Science