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A robust method for 3D hand tracking using histogram of gradients and particle filter

Abstract : This work deals with 3D hand tracking in cluttered background which is an important task in human computer interaction and non intrusive marketing behavior. In this paper a particle filter framework is proposed to integrate gradient distributions and image observations in order to estimate the 3D position of hand from monocular image sequences. Extensive experiments have bee carried out to demonstrate the efficiency and the robustness of our approach.
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https://hal.archives-ouvertes.fr/hal-00750175
Contributor : Frédéric Davesne <>
Submitted on : Friday, November 9, 2012 - 10:32:15 AM
Last modification on : Tuesday, June 30, 2020 - 11:56:07 AM

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Fakhr-Eddine Ababsa. A robust method for 3D hand tracking using histogram of gradients and particle filter. 4th International Conference on Intelligent and Advanced Systems (ICIAS 2012), Jun 2012, Kuala Lumpur, Malaysia. pp.339-342, ⟨10.1109/ICIAS.2012.6306214⟩. ⟨hal-00750175⟩

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