Title :
An HMM-based segmentation method for traffic monitoring movies
Author :
Kato, Jien ; Watanabe, Toyohide ; Joga, Sebastien ; Rittscher, Jens ; Blake, Andrew
Author_Institution :
Dept. of Inf. Eng., Nagoya Univ., Japan
fDate :
9/1/2002 12:00:00 AM
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
Keywords :
computerised monitoring; hidden Markov models; image classification; image segmentation; road traffic; tracking; traffic engineering computing; HMM-based segmentation method; background objects; foreground; image classification; real-time system; robust visual tracking; shadows; traffic monitoring movies; Hidden Markov models; Monitoring; Motion pictures;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
DOI :
10.1109/TPAMI.2002.1033221
