Multicue HMM-UKF for real-time contour tracking
Copyright policy )Multicue HMM-UKF for real-time contour tracking
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.
- College of New Jersey United States
- University of Illinois at Urbana–Champaign United States
- University of Illinois at Urbana Champaign United States
- University of Illinois System United States
- Microsoft (United States) United States
Motion, Models, Statistical, Artificial Intelligence, Computer Systems, Image Interpretation, Computer-Assisted, Information Storage and Retrieval, Computer Simulation, Image Enhancement, Algorithms, Markov Chains, Pattern Recognition, Automated
Motion, Models, Statistical, Artificial Intelligence, Computer Systems, Image Interpretation, Computer-Assisted, Information Storage and Retrieval, Computer Simulation, Image Enhancement, Algorithms, Markov Chains, Pattern Recognition, Automated
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