@article{oai:nagoya.repo.nii.ac.jp:00005160,
 author = {Kato, Jien and Watanabe, Toyohide and Joga, Sebastien and Jens, Rittscher and Andrew, Blake and 加藤, ジェーン and 渡邉, 豊英},
 issue = {9},
 journal = {IEEE Transactions on Pattern Analysis and Machine Intelligence},
 month = {Sep},
 note = {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 propossed method has been proven through experimental results.},
 pages = {1291--1296},
 title = {An HMM-based segmentation method for traffic monitoring movies},
 volume = {24},
 year = {2002}
}