A Framework for 3D Hand Tracking and Gesture Recognition using Elements of Genetic Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.3973

@InProceedings{conf/crv/El-SawahJGP07,
  author =       "Ayman El-Sawah and Chris Joslin and 
                 Nicolas D. Georganas and Emil M. Petriu",
  title =        "A Framework for {3D} Hand Tracking and Gesture
                 Recognition using Elements of Genetic Programming",
  booktitle =    "Fourth Canadian Conference on Computer and Robot
                 Vision, CRV '07",
  year =         "2007",
  pages =        "495--502",
  address =      "Montreal",
  month =        "28-30 " # may,
  publisher =    "IEEE Computer Society",
  keywords =     "genetic algorithms, genetic programming, VR, 3D hand
                 tracking, 3D hand vision-based posture hypothesis,
                 dynamic Bayesian network model, fuzzy set theory,
                 geometric transformation, gesture recognition, image
                 plane, kinematics inverse transformation, probabilistic
                 observation model, single camera, soft computing, Bayes
                 methods, cameras, computer vision, optical tracking,
                 pose estimation, probability",
  DOI =          "doi:10.1109/CRV.2007.3",
  size =         "8 pages",
  abstract =     "In this paper we present a framework for 3D hand
                 tracking and dynamic gesture recognition using a single
                 camera. Hand tracking is performed in a two step
                 process: we first generate 3D hand posture hypothesis
                 using geometric and kinematics inverse transformations,
                 and then validate the hypothesis by projecting the
                 postures on the image plane and comparing the projected
                 model with the ground truth using a probabilistic
                 observation model. Dynamic gesture recognition is
                 performed using a Dynamic Bayesian Network model. The
                 framework uses elements of soft computing to resolve
                 the ambiguity inherent in vision-based tracking by
                 producing a fuzzy hand posture output by the hand
                 tracking module and feeding back potential posture
                 hypothesis from the gesture recognition module.",
  notes =        "Univ. of Ottawa, Ottawa Almost no description of GP
                 used",
  bibdate =      "2007-06-01",
  bibsource =    "DBLP,
                 http://dblp.uni-trier.de/db/conf/crv/crv2007.html#El-SawahJGP07",
}

Genetic Programming entries for Ayman El-Sawah Chris Joslin Nicolas D Georganas Emil M Petriu

Citations