Bayesian GOETHE Tracking - Archive ouverte HAL
Communication Dans Un Congrès Année : 2010

Bayesian GOETHE Tracking

Résumé

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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Dates et versions

hal-01381502 , version 1 (14-10-2016)

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Citer

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