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Authors: Laurent Fitte-Duval ; Alhayat Ali Mekonnen and Frédéric Lerasle

Affiliation: CNRS, LAAS and Université de Toulouse, France

ISBN: 978-989-758-090-1

Keyword(s): Upper Body Detection, Body Pose Classification, Fast Feature Pyramid, Sparse Classification, Aggregated Channel Features, Feature Evaluation.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: This work investigates some visual functionalities required in Human-Robot Interaction (HRI) to evaluate the intention of a person to interact with another agent (robot or human). Analyzing the upper part of the human body which includes the head and the shoulders, we obtain essential cues on the person’s intention. We propose a fast and efficient upper body detector and an approach to estimate the upper body pose in 2D images. The upper body detector derived from a state-of-the-art pedestrian detector identifies people using Aggregated Channel Features (ACF) and fast feature pyramid whereas the upper body pose classifier uses a sparse representation technique to recognize their shoulder orientation. The proposed detector exhibits state-of-the-art result on a public dataset in terms of both detection performance and frame rate. We also present an evaluation of different feature set combinations for pose classification using upper body images and report promising results despite the as sociated challenges. (More)

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Paper citation in several formats:
Fitte-Duval, L.; Mekonnen, A. and Lerasle, F. (2015). Upper Body Detection and Feature Set Evaluation for Body Pose Classification.In Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015) ISBN 978-989-758-090-1, pages 439-446. DOI: 10.5220/0005313104390446

@conference{visapp15,
author={Laurent Fitte{-}Duval. and Alhayat Ali Mekonnen. and Frédéric Lerasle.},
title={Upper Body Detection and Feature Set Evaluation for Body Pose Classification},
booktitle={Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)},
year={2015},
pages={439-446},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005313104390446},
isbn={978-989-758-090-1},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2015)
TI - Upper Body Detection and Feature Set Evaluation for Body Pose Classification
SN - 978-989-758-090-1
AU - Fitte-Duval, L.
AU - Mekonnen, A.
AU - Lerasle, F.
PY - 2015
SP - 439
EP - 446
DO - 10.5220/0005313104390446

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