Online failure detection and correction for Bayesian sparse feature-based object tracking

Abstract

Online evaluation of tracking algorithms is an important task in real time tracking systems to detect failures. In visual object tracking based on sparse features, detecting the failure of one of the feature points (corners) and correcting it will improve the performance of the tracker as a whole. In this paper a time reversed Markov chain is applied as… (More)
DOI: 10.1109/AVSS.2011.6027344

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Cite this paper

@article{Biresaw2011OnlineFD, title={Online failure detection and correction for Bayesian sparse feature-based object tracking}, author={Tewodros Atanaw Biresaw and Mauricio Soto Alvarez and Carlo S. Regazzoni}, journal={2011 8th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS)}, year={2011}, pages={320-324} }