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Issue No.09 - September (2002 vol.24)
pp: 1291-1296
ABSTRACT
<p><b>Abstract</b>—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.</p>
INDEX TERMS
Car tracking, hidden Markov model, image classification, image segmentation, wavelet coefficients.
CITATION
Jien Kato, Toyohide Watanabe, Sébastien Joga, Jens Rittscher, Andrew Blake, "An HMM-Based Segmentation Method for Traffic Monitoring Movies", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.24, no. 9, pp. 1291-1296, September 2002, doi:10.1109/TPAMI.2002.1033221
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