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Authors: Sebastien Onis 1 ; Henri Sanson 1 ; Christophe Garcia 1 and Jean-Luc Dugelay 2

Affiliations: 1 France Telecom RD, France ; 2 Eurecom, France

ISBN: 978-989-8111-21-0

Keyword(s): Object detection, correlation, affine deformation.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Data Manipulation ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Methodologies and Methods ; Neurocomputing ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Soft Computing

Abstract: In this paper, we present an object detection approach based on a similarity measure combining cross-correlation and affine deformation. Current object detection systems provide good results, at the expense of requiring a large training database. The use of correlation anables object detection with very small training set but is not robust to the luminosity change and RST (Rotation, Scale, translation) transformation. This paper presents a detection system that first searches the likely positions and scales of the object using image preprocessing and cross-correlation method and secondly, uses a similarity measure based on affine deformation to confirm or not the predetection. We apply our system to face detection and show the improvement in results due to the images preprocessing and the affine deformation.

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Paper citation in several formats:
Onis S.; Sanson H.; Garcia C.; Dugelay J. and (2008). EFFICIENT OBJECT DETECTION ROBUST TO RST WITH MINIMAL SET OF EXAMPLES.In Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008) ISBN 978-989-8111-21-0, pages 179-185. DOI: 10.5220/0001083601790185

@conference{visapp08,
author={Sebastien Onis and Henri Sanson and Christophe Garcia and Jean{-}Luc Dugelay},
title={EFFICIENT OBJECT DETECTION ROBUST TO RST WITH MINIMAL SET OF EXAMPLES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)},
year={2008},
pages={179-185},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001083601790185},
isbn={978-989-8111-21-0},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2008)
TI - EFFICIENT OBJECT DETECTION ROBUST TO RST WITH MINIMAL SET OF EXAMPLES
SN - 978-989-8111-21-0
AU - Onis, S.
AU - Sanson, H.
AU - Garcia, C.
AU - Dugelay, J.
PY - 2008
SP - 179
EP - 185
DO - 10.5220/0001083601790185

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