Bibtex de la publication

@InProceedings{ LeDa2010.1,
author = {Lefebvre-Albaret, Fran├žois and Dalle, Patrice},
title = "{Body posture estimation in sign language videos (regular paper)}",
booktitle = "{International Gesture Workshop, Bielefeld University, 25/02/2009-27/02/2009}",
editor = {Kopp, Stefan and Wachsmuth, Ipke},
year = {2010},
publisher = {Springer},
address = {http://www.springerlink.com},
series = {LNAI},
number = {5934},
pages = {289--300},
language = {anglais},
keywords = {Sign Language, Posture Reconstruction, Inverse Kinematics, Mono Vision},
abstract = {This article deals with the posture reconstruction from a mono view video of a signed utterance. Our method makes no use of additional sensors or visual markers. The head and the two hands are tracked by means of a particle fil- ter. The elbows are detected as convolution local maxima. A non linear filter is first used to remove the outliers, then some criteria using French Sign Language phonology are used to process the hand disambiguation. The posture recon- struction is achieved by using inverse kinematics, using a Kalman smoothing and the correlation between strong and week hand depth that can be noticed in the signed utterances. The article ends with a quantitative and qualitative evaluation of the reconstruction. We show how the results could be used in the framework of automatic Sign Language video processing.}
}