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Authors: Margarita Khokhlova ; Cyrille Migniot and Albert Dipanda

Affiliation: Univ. Bourgogne Franche-Comté, France

ISBN: 978-989-758-290-5

Keyword(s): 3D Descriptor, Point Cloud Structure, 3D Posture.

Abstract: This paper introduces a simple yet powerful algorithm for global human posture description based on 3D Point Cloud data. The proposed algorithm preserves spatial contextual information about a 3D object in a video sequence and can be used as an intermediate step in human-motion related Computer Vision applications such as action recognition, gait analysis, human-computer interaction. The proposed descriptor captures a point cloud structure by means of a modified 3D regular grid and a corresponding cells space occupancy information. The performance of our method was evaluated on the task of posture recognition and automatic action segmentation.

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Paper citation in several formats:
Khokhlova M., Migniot C. and Dipanda A. (2018). 3D Point Cloud Descriptor for Posture Recognition.In Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP, ISBN 978-989-758-290-5, pages 161-168. DOI: 10.5220/0006541801610168

@conference{visapp18,
author={Margarita Khokhlova and Cyrille Migniot and Albert Dipanda},
title={3D Point Cloud Descriptor for Posture Recognition},
booktitle={Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,},
year={2018},
pages={161-168},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006541801610168},
isbn={978-989-758-290-5},
}

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 5: VISAPP,
TI - 3D Point Cloud Descriptor for Posture Recognition
SN - 978-989-758-290-5
AU - Khokhlova M.
AU - Migniot C.
AU - Dipanda A.
PY - 2018
SP - 161
EP - 168
DO - 10.5220/0006541801610168

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