Bayesian GOETHE Tracking

Abstract : Occlusions are serious challenges when tracking multiple targets. By greatly changing the measurement, they imply strong inter-target dependencies. Exact computation of these dependencies is not feasible. The approximations made by GOETHE preserve much of the information while staying computationally affordable.
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Communication dans un congrès
International Conference on Pattern Recognition (ICPR), Aug 2010, Istanbul, Turkey. IEEE, pp.2077-2080, 2010, 〈10.1109/ICPR.2010.511〉
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https://hal.archives-ouvertes.fr/hal-01381502
Contributeur : Équipe Gestionnaire Des Publications Si Liris <>
Soumis le : vendredi 14 octobre 2016 - 14:47:10
Dernière modification le : vendredi 10 novembre 2017 - 01:20:19

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Sebastian Wirkert, Emmanuel Dellandréa, Liming Chen. Bayesian GOETHE Tracking. International Conference on Pattern Recognition (ICPR), Aug 2010, Istanbul, Turkey. IEEE, pp.2077-2080, 2010, 〈10.1109/ICPR.2010.511〉. 〈hal-01381502〉

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