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Authors: Ines Hadj Mtir 1 ; Khaled Kaâniche 1 ; Pascal Vasseur 2 and Mohamed Chtourou 1

Affiliations: 1 University of Sfax, Tunisia ; 2 University of Rouen, France

ISBN: 978-989-8565-22-8

ISSN: 2184-2809

Keyword(s): Outliers Rejection, Features Matching, Image Registration, Motion Compensation, Vehicles Detection, Aerial Sequences.

Related Ontology Subjects/Areas/Topics: Image Processing ; Informatics in Control, Automation and Robotics ; Robotics and Automation ; Surveillance ; Vision, Recognition and Reconstruction

Abstract: The objective of our system is to detect vehicles from aerial sequences. Theses sequences are taken from a camera mounted on UAV which flies over roads and highways. Our approach is to firstly compensate the motion introduced by the dynamic behaviour of the camera. This leads us to a problem of image registration. The moving regions (vehicles) are after that extracted using residual motion. The aim of this paper is to present a combined method for features matching and outliers rejection to increase the accuracy of the registration phase. We use first, the SIFT descriptors and then outliers are rejected using geometric constraints. This leads to a better registration and a minimum of false alarms in the detection phase.

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Paper citation in several formats:
Hadj Mtir, I.; Kaâniche, K.; Vasseur, P. and Chtourou, M. (2012). False Positive Outliers Rejection for Improving Image Registration Accuracy - Application to Road Traffic Aerial Sequences. In Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-8565-22-8; ISSN 2184-2809, pages 274-279. DOI: 10.5220/0004038102740279

@conference{icinco12,
author={Ines {Hadj Mtir}. and Khaled Kaâniche. and Pascal Vasseur. and Mohamed Chtourou.},
title={False Positive Outliers Rejection for Improving Image Registration Accuracy - Application to Road Traffic Aerial Sequences},
booktitle={Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2012},
pages={274-279},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004038102740279},
isbn={978-989-8565-22-8},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - False Positive Outliers Rejection for Improving Image Registration Accuracy - Application to Road Traffic Aerial Sequences
SN - 978-989-8565-22-8
IS - 2184-2809
AU - Hadj Mtir, I.
AU - Kaâniche, K.
AU - Vasseur, P.
AU - Chtourou, M.
PY - 2012
SP - 274
EP - 279
DO - 10.5220/0004038102740279

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