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Visual tracking using interactive factorial hidden Markov models

Abstract The authors present a novel tracking algorithm based on a factorial hidden Markov model (FHMM) that can utilise the structured information of a target. An FHMM consists of multiple hidden Markov models (HMMs), wherein each HMM aims to represent a different part of the target. Then, the geom...

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Auteurs principaux: Jin Wook Paeng, Junseok Kwon
Format: Artigo
Langue:Inglês
Publié: Wiley 2021-08-01
Collection:IET Signal Processing
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Accès en ligne:https://doi.org/10.1049/sil2.12037
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