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Authors: Stefano Pellegrini and Luca Iocchi

Affiliation: Univesità di Roma “La Sapienza”, Italy

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): Human Posture Classification, Human Activity Recognition, 3D Modeling, Stereo Vision.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Model-Based Object Tracking in Image Sequences ; Motion, Tracking and Stereo Vision ; Tracking of People and Surveillance

Abstract: The ability of detecting human postures is very relevant for applications related to the analysis of human behaviors. Techniques for posture detection and classification can be thus very important in several fields, like ambient intelligence, surveillance, elderly care, etc. This problem has been studied in recent years in the Computer Vision community, but proposed solutions still suffer from some limitations that are due to the difficulty of dealing with complex scenes (e.g., occlusions, different view points, etc.). In this paper we present a system for posture tracking and classification that uses a stereo vision sensor, which provides both for a robust way to segment and track people in the scene and 3D information about tracked people. The presented method uses a 3D model of human body, performs model matching through a variant of the ICP algorithm and then uses a Hidden Markov Model to model posture transitions. Experimental results show the effectiveness of the system in deter mining human postures in presence of partial occlusions and from different view points. (More)

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Paper citation in several formats:
Pellegrini, S. and Iocchi, L. (2006). HUMAN POSTURE TRACKING AND CLASSIFICATION THROUGH STEREO VISION.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 261-269. DOI: 10.5220/0001376702610269

@conference{visapp06,
author={Stefano Pellegrini and Luca Iocchi},
title={HUMAN POSTURE TRACKING AND CLASSIFICATION THROUGH STEREO VISION},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={261-269},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001376702610269},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - HUMAN POSTURE TRACKING AND CLASSIFICATION THROUGH STEREO VISION
SN - 972-8865-40-6
AU - Pellegrini, S.
AU - Iocchi, L.
PY - 2006
SP - 261
EP - 269
DO - 10.5220/0001376702610269

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