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Authors: Ouissem Ben-Henia and Saida Bouakaz

Affiliation: Université Claude Bernard Lyon 1, France

ISBN: 978-989-8425-47-8

ISSN: 2184-4321

Keyword(s): Hand tracking, Dissimilarity function, Minimization method.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems

Abstract: Model-based methods to the tracking of an articulated hand in a video sequence generally use a cost function to compare the hand pose with a parametric three-dimensional (3D) hand model. This comparison allows adapting the hand model parameters and it is thus possible to reproduce the hand gestures. Many proposed cost functions exploit either silhouette or edge features. Unfortunately, these functions cannot deal with the tracking of complex hand motion. This paper presents a new depth-based function to track complex hand motion such as opening and closing hand. Our proposed function compares 3D point clouds stemming from depth maps. Each hand point cloud is compared with several clouds of points which correspond to different model poses in order to obtain the model pose that is close to the hand one. To reduce the computational burden, we propose to compute a volume of voxels from a hand point cloud, where each voxel is characterized by its distance to that cloud. When we place a mod el point cloud inside this volume of voxels, it becomes fast to compute its distance to the hand point cloud. Compared with other well-known functions such as the directed Hausdorff distance (Huttenlocher et al., 1993), our proposed function is more adapted to the hand tracking problem and it is faster than the Hausdorff function. (More)

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Paper citation in several formats:
Ben-Henia, O. and Bouakaz, S. (2011). A NEW DEPTH-BASED FUNCTION FOR 3D HAND MOTION TRACKING. In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8 ISSN 2184-4321, pages 653-658. DOI: 10.5220/0003378106530658

@conference{visapp11,
author={Ouissem Ben{-}Henia. and Saida Bouakaz.},
title={A NEW DEPTH-BASED FUNCTION FOR 3D HAND MOTION TRACKING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={653-658},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003378106530658},
isbn={978-989-8425-47-8},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - A NEW DEPTH-BASED FUNCTION FOR 3D HAND MOTION TRACKING
SN - 978-989-8425-47-8
IS - 2184-4321
AU - Ben-Henia, O.
AU - Bouakaz, S.
PY - 2011
SP - 653
EP - 658
DO - 10.5220/0003378106530658

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