A general Bayesian algorithm for visual object tracking based on sparse features - researchr publication authors

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Mauricio Soto Alvarez, Carlo S. Regazzoni. A general Bayesian algorithm for visual object tracking based on sparse features. In Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011, May 22-27, 2011, Prague Congress Center, Prague, Czech Republic. pages 1181-1184, IEEE, 2011. [doi]

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