Hand tracking using optical-flow embedded particle filter in sign language scenes

Authors:
Selma Belgacem;Clément Chatelain;Achraf Ben-Hamadou;Thierry Paquet
Affiliations:
LITIS EA 4108, University of Rouen, Saint-Etienne du Rouvray, France;LITIS EA 4108, University of Rouen, Saint-Etienne du Rouvray, France;Center for Visual Computing, ENPC, University of Paris-Est, LIGM (UMR CNRS), Marne-la-Vallée, France;LITIS EA 4108, University of Rouen, Saint-Etienne du Rouvray, France
Venue:
ICCVG'12 Proceedings of the 2012 international conference on Computer Vision and Graphics
Year:
2012

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Abstract

In this paper we present a method dedicated to hand tracking in sign language scenes using particle filtering. A a new penalisation method based on the optical flow mechanism is introduced. Generally, particle filters require the use of a reference model. In this paper we have introduced a new method based on a dictionary of visual references of hand to constitute the reference model. The evaluation of our method is performed on the SignStream-ASLLRP database on which we have provided ground truth annotations for this purpose. The obtained results show the accuracy of our method.