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Issue No.09 - September (2006 vol.28)
pp: 1525-1529
Yunqiang Chen , Siemens Corp. Res., Princeton, NJ
ABSTRACT
We propose an HMM model for contour detection based on multiple visual cues in spatial domain and improve it by joint probabilistic matching to reduce background clutter. It is further integrated with unscented Kalman filter to exploit object dynamics in nonlinear systems for robust contour tracking
INDEX TERMS
Hidden Markov models, Object detection, Robustness, Nonlinear dynamical systems, Particle filters, Nonlinear systems, Shape, State-space methods, Application software, Human computer interaction,joint probabilistic matching., Parametric contour, HMM, unscented Kalman filters
CITATION
Yunqiang Chen, Yong Rui, T.S. Huang, "Multicue HMM-UKF for real-time contour tracking", IEEE Transactions on Pattern Analysis & Machine Intelligence, vol.28, no. 9, pp. 1525-1529, September 2006, doi:10.1109/TPAMI.2006.190
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