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Authors: Sumitra Ganesh and Ruzena Bajcsy

Affiliation: University of California, United States

Keyword(s): Human Activity Recognition, Optimal Control, Multiple Model Estimation, Particle Filters.

Abstract: We present a novel approach to the problem of representation and recognition of human actions, that uses an optimal control based model to connect the high-level goals of a human subject to the low-level movement trajectories captured by a computer vision system. These models quantify the high-level goals as a performance criterion or cost function which the human sensorimotor system optimizes by picking the control strategy that achieves the best possible performance. We show that the human body can be modeled as a hybrid linear system that can operate in one of several possible modes, where each mode corresponds to a particular high-level goal or cost function. The problem of action recognition, then is to infer the current mode of the system from observations of the movement trajectory. We demonstrate our approach on 3D visual data of human arm motion.

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Paper citation in several formats:
Ganesh, S. and Bajcsy, R. (2008). REPRESENTATION AND RECOGNITION OF HUMAN ACTIONS - A New Approach based on an Optimal Control Motor Model. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 99-104. DOI: 10.5220/0001086700990104

@conference{visapp08,
author={Sumitra Ganesh. and Ruzena Bajcsy.},
title={REPRESENTATION AND RECOGNITION OF HUMAN ACTIONS - A New Approach based on an Optimal Control Motor Model},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={99-104},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001086700990104},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - REPRESENTATION AND RECOGNITION OF HUMAN ACTIONS - A New Approach based on an Optimal Control Motor Model
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Ganesh, S.
AU - Bajcsy, R.
PY - 2008
SP - 99
EP - 104
DO - 10.5220/0001086700990104
PB - SciTePress