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An HMM-Based Segmentation Method for Traffic Monitoring Movies
September 2002 (vol. 24 no. 9)
pp. 1291-1296

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.

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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 and Machine Intelligence, vol. 24, no. 9, pp. 1291-1296, Sept. 2002, doi:10.1109/TPAMI.2002.1033221
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