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Hand Tracking Using Optical-Flow Embedded Particle Filter in Sign Language Scenes

  • Selma Belgacem
  • Clément Chatelain
  • Achraf Ben-Hamadou
  • Thierry Paquet
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7594)

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.

Keywords

hand tracking particle filtering optical flow hand vocabulary sign language scene 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Selma Belgacem
    • 1
  • Clément Chatelain
    • 1
  • Achraf Ben-Hamadou
    • 2
  • Thierry Paquet
    • 1
  1. 1.LITIS EA 4108University of RouenSaint-Etienne du RouvrayFrance
  2. 2.Center for Visual Computing, ENPCUniversity of Paris-Est, LIGM (UMR CNRS)Marne-la-ValléeFrance

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