Robust Probabilistic Estimation of Uncertain Appearance for Model Based Tracking
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Complete Reference
	N. Krahnstoever, R. Sharma, "Robust Probabilistic Estimation of Uncertain Appearance for Model Based Tracking", IEEE Workshop on Motion and Video Computing, The Orlando World Center Marriott Orlando, FL USA, December 5-6, 2002.
Abstract
	We present a method for appearance management for model-based visual tracking. The approach provides a concise mechanism for mapping image information to a model surface by taking into consideration uncertainties from the mapping process and by propagating appearance information from visible high-confidence surface regions to hidden or low-confidence regions. The method allows acquiring and utilizing appearance information online from available data, eliminating the need for offline appearance information. The problem is modeled with a continuous Markov Random Field with clique potentials defined as energy functionals over color distributions with the Earth Mover Distance replacing traditional distance measures between random variables. A general MAP-MRF solution usable for general distributions as well as an efficient real-time capable linear close form approximation are presented.
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BibTeX Entry
	@inproceedings{krahnstoever02robust, author={N. Krahnstoever and R. Sharma}, booktitle={Proc. of IEEE Workshop on Motion and Video Computing (MOTION 2002), The Orlando World Center Marriott Orlando, FL USA}, month={December}, title={Robust Probabilistic Estimation of Uncertain Appearance for Model Based Tracking}, year={2002} }
Links and Notes
	MOTION 2002 Conference
Images
Additional Material
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