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Authors: Ilyes Sghir and Shishir Shah

Affiliation: University of Houston, United States

ISBN: 978-989-758-175-5

Keyword(s): Hospital Operating Room Analysis, Human Motion Modeling.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Video Surveillance and Event Detection

Abstract: In this paper, we present a system that exploits existing video streams from a hospital operating room (OR) to infer OR usage states. We define OR states that are relevant for assessing OR usage efficiency. We adopt a holistic approach that involves the combination of two meaningful human motion features: gestures or upper body movements computed using optical flow and whole body movements computed through motion trajectories. The two features are independently modeled for each of the defined OR usage states and eventually fused to obtain a final decision. Our approach is tested on a large collection of videos and the results show that the combination of both human motion features provide significant discriminative power in understanding usage of an OR.

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Paper citation in several formats:
Sghir, I. and Shah, S. (2016). Modeling Human Motion for Predicting Usage of Hospital Operating Room.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 328-335. DOI: 10.5220/0005678003280335

@conference{visapp16,
author={Ilyes Sghir. and Shishir Shah.},
title={Modeling Human Motion for Predicting Usage of Hospital Operating Room},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, (VISIGRAPP 2016)},
year={2016},
pages={328-335},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005678003280335},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, (VISIGRAPP 2016)
TI - Modeling Human Motion for Predicting Usage of Hospital Operating Room
SN - 978-989-758-175-5
AU - Sghir, I.
AU - Shah, S.
PY - 2016
SP - 328
EP - 335
DO - 10.5220/0005678003280335

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