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Authors: Thierry Chesnais 1 ; Nicolas Allezard 1 ; Yoann Dhome 1 and Thierry Chateau 2

Affiliations: 1 CEA, France ; 2 Blaise Pascal University, France

Keyword(s): Video Surveillance, Object Detection, Pedestrian Detection, Semi-supervised Learning, Oracle.

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

Abstract: This article tackles the real-time pedestrian detection problem using a stationary uncalibrated camera. More precisely we try to specialize a classifier by taking into account the context of the scene. To achieve this goal, we introduce an offline semi-supervised approach which uses an oracle. This latter must automatically label a video, in order to obtain contextualized training data. The proposed oracle is composed of several detectors. Each of them is trained on a different signal: appearance, background subtraction and optical flow signals. Then we merge their responses and keep the more confident detections. A specialized detector is then built on the resulting dataset. Designed for improving camera network installation procedure, the presented method is completely automatic and does not need any knowledge about the scene.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Chesnais, T.; Allezard, N.; Dhome, Y. and Chateau, T. (2012). AUTOMATIC PROCESS TO BUILD A CONTEXTUALIZED DETECTOR. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 513-520. DOI: 10.5220/0003822105130520

@conference{visapp12,
author={Thierry Chesnais. and Nicolas Allezard. and Yoann Dhome. and Thierry Chateau.},
title={AUTOMATIC PROCESS TO BUILD A CONTEXTUALIZED DETECTOR},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={513-520},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003822105130520},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - AUTOMATIC PROCESS TO BUILD A CONTEXTUALIZED DETECTOR
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Chesnais, T.
AU - Allezard, N.
AU - Dhome, Y.
AU - Chateau, T.
PY - 2012
SP - 513
EP - 520
DO - 10.5220/0003822105130520
PB - SciTePress