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Authors: Suraj Nair ; Emmanuel Dean-Leon and Alois Knoll

Affiliation: Technische Universität München, Germany

Keyword(s): Visual Tracking.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Stereo Vision and Structure from Motion ; Tracking and Visual Navigation ; Video Surveillance and Event Detection

Abstract: This paper presents a novel and robust vision-based real-time 3D multiple human tracking system. It is capable of automatically detecting and tracking multiple humans in real-time even when they occlude each other. Furthermore, it is robust towards drastically changing lighting conditions. The system consists of 2 parts, 1. a vision based human tracking system using multiple visual cues with a robust occlusion handling module, 2. a machine learning based module for intelligent multi-modal fusion and self adapting the system towards drastic light changes. The paper also proposes an approach to validate the system through zero-error ground truth data obtained by virtual environments. The system is also validated in real-world scenarios.

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Paper citation in several formats:
Nair, S.; Dean-Leon, E. and Knoll, A. (2012). REAL-TIME 3D MULTIPLE HUMAN TRACKING WITH ROBUSTNESS ENHANCEMENT THROUGH MACHINE LEARNING. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 359-366. DOI: 10.5220/0003824203590366

@conference{visapp12,
author={Suraj Nair. and Emmanuel Dean{-}Leon. and Alois Knoll.},
title={REAL-TIME 3D MULTIPLE HUMAN TRACKING WITH ROBUSTNESS ENHANCEMENT THROUGH MACHINE LEARNING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={359-366},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003824203590366},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - REAL-TIME 3D MULTIPLE HUMAN TRACKING WITH ROBUSTNESS ENHANCEMENT THROUGH MACHINE LEARNING
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Nair, S.
AU - Dean-Leon, E.
AU - Knoll, A.
PY - 2012
SP - 359
EP - 366
DO - 10.5220/0003824203590366
PB - SciTePress

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