DETECTING AND TRACKING PEOPLE IN MOTION - A Hybrid Approach Combining 3D Reconstruction and 2D Description

Peter Holzer, Chunming Li, Axel Pinz

2011

Abstract

We analyze the most difficult case of visual surveillance, when people in motion are observed by a moving camera. Our solution to this problem is a hybrid system that combines the online 3D reconstruction of stationary background structure, camera trajectory, and moving foreground objects with more established techniques in the 2D domain. Once this 3D part has succeeded in focusing the attention on a particular, moving foreground object, we continue in the 2D image domain using a state-of-the art shape-based person detector, and meanshift-based object tracking. Our results show various benefits of this hybrid approach beyond improved detection rate and reduced false alarms. In particular, each individual algorithmic component can benefit from the results of the other components, by gathering a richer foreground description, improved self-diagnosis capabilities, and by an explicit use of the available 3D information.

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Paper Citation


in Harvard Style

Holzer P., Li C. and Pinz A. (2011). DETECTING AND TRACKING PEOPLE IN MOTION - A Hybrid Approach Combining 3D Reconstruction and 2D Description . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 561-568. DOI: 10.5220/0003317005610568

in Bibtex Style

@conference{visapp11,
author={Peter Holzer and Chunming Li and Axel Pinz},
title={DETECTING AND TRACKING PEOPLE IN MOTION - A Hybrid Approach Combining 3D Reconstruction and 2D Description},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={561-568},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003317005610568},
isbn={978-989-8425-47-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - DETECTING AND TRACKING PEOPLE IN MOTION - A Hybrid Approach Combining 3D Reconstruction and 2D Description
SN - 978-989-8425-47-8
AU - Holzer P.
AU - Li C.
AU - Pinz A.
PY - 2011
SP - 561
EP - 568
DO - 10.5220/0003317005610568