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Authors: Quentin Houben 1 ; Juan Carlos Tocino Diaz 1 ; Nadine Warzée 1 ; Olivier Debeir 1 and Jacek Czyz 2

Affiliations: 1 Universté Libre de Bruxelles, Belgium ; 2 Macq Electronique, Belgium

Keyword(s): Visual traffic analysis, Multi-camera, Object detection, Vehicle Classification.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Matching Correspondence and Flow ; Motion, Tracking and Stereo Vision ; Retrieval of 3D Objects from Video Sequences ; Stereo Vision and Structure from Motion

Abstract: This paper presents a method for counting and classifying vehicles on motorway. The system is based on a multi-camera system fixed over the road. Different features (maximum phase congruency and edges) are detected on the two images and matched together with local matching algorithm. The resulting 3D points cloud is processed by maximum spanning tree clustering algorithm to group the points into vehicle objects. Bounding boxes are defined for each detected object, giving an approximation of the vehicles 3D sizes. A complementary 2D quadrilateral detector has been developed to enhance the probability of matching features on vehicle exhibiting little texture such as long vehicles. The algorithm presented here was validated manually and gives 90% of good detection accuracy.

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Paper citation in several formats:
Houben, Q.; Carlos Tocino Diaz, J.; Warzée, N.; Debeir, O. and Czyz, J. (2009). MULTI-FEATURE STEREO VISION SYSTEM FOR ROAD TRAFFIC ANALYSIS. In Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP; ISBN 978-989-8111-69-2; ISSN 2184-4321, SciTePress, pages 554-559. DOI: 10.5220/0001803405540559

@conference{visapp09,
author={Quentin Houben. and Juan {Carlos Tocino Diaz}. and Nadine Warzée. and Olivier Debeir. and Jacek Czyz.},
title={MULTI-FEATURE STEREO VISION SYSTEM FOR ROAD TRAFFIC ANALYSIS},
booktitle={Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP},
year={2009},
pages={554-559},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001803405540559},
isbn={978-989-8111-69-2},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Fourth International Conference on Computer Vision Theory and Applications (VISIGRAPP 2009) - Volume 2: VISAPP
TI - MULTI-FEATURE STEREO VISION SYSTEM FOR ROAD TRAFFIC ANALYSIS
SN - 978-989-8111-69-2
IS - 2184-4321
AU - Houben, Q.
AU - Carlos Tocino Diaz, J.
AU - Warzée, N.
AU - Debeir, O.
AU - Czyz, J.
PY - 2009
SP - 554
EP - 559
DO - 10.5220/0001803405540559
PB - SciTePress

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