Gesture sequence recognition with one shot learned CRF/HMM hybrid model

In this paper, we propose a novel markovian hybrid system CRF/HMM for gesture recognition, and a novel motion description method called gesture signature for gesture characterisation. The gesture signature is computed using the optical flows in order to describe the location, velocity and orientatio...

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Veröffentlicht in:	Image and vision computing 2017-05, Vol.61, p.12-21
Hauptverfasser:	Belgacem, Selma, Chatelain, Clément, Paquet, Thierry
Format:	Artikel
Sprache:	eng
Schlagworte:	Computer Science Computer Vision and Pattern Recognition Conditional random field Gesture characterisation Gesture recognition Hidden Markov model Hybrid system One-shot-learning
Online-Zugang:	Volltext
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