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Authors: Tan Khoa Mai 1 ; 1 ; Michèle Gouiffès 2 ; 2 and Samia Bouchafa 1 ; 1

Affiliations: 1 Univ. d’Evry Val d’Essonne and Université Paris Saclay, France ; 2 Univ. Paris Sud and Université Paris Saclay, France

ISBN: 978-989-758-264-6

Keyword(s): Optical Flow, C-velocity, 3-D Plane Reconstruction.

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

Abstract: This paper deals with a new method that exploits optical flow field properties to simplify and strengthen the original c-velocity approach (Bouchafa and Zavidovique, 2012). C-velocity is a cumulative method based on a Hough-like transform adapted to velocities that allows 3D structure identification. In case of moving cameras, the 3D scene is assumed to be composed by a set of 3D planes that could be categorized in 3 main models: horizontal, lateral and vertical planes. We prove in this paper that, by using directly pixel coordinates to create what we will call the uv-velocity space, it is possible to detect 3D planes efficiently. We conduct our experiments on the KITTI optical flow dataset (Menze and Geiger, 2015) to prove our new concept besides the effectiveness of uv-velocity in detecting planes. In addition, we show how our approach could be applied to detect free navigation area (road), urban structures like buildings and obstacles from a moving camera in the context of Advanced Driver Assistance Systems. (More)

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Paper citation in several formats:
Mai, T.; Gouiffès, M. and Bouchafa, S. (2017). Exploiting Optical Flow Field Properties for 3D Structure Identification.In Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-264-6, pages 459-464. DOI: 10.5220/0006474504590464

@conference{icinco17,
author={Tan Khoa Mai. and Michèle Gouiffès. and Samia Bouchafa.},
title={Exploiting Optical Flow Field Properties for 3D Structure Identification},
booktitle={Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2017},
pages={459-464},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006474504590464},
isbn={978-989-758-264-6},
}

TY - CONF

JO - Proceedings of the 14th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Exploiting Optical Flow Field Properties for 3D Structure Identification
SN - 978-989-758-264-6
AU - Mai, T.
AU - Gouiffès, M.
AU - Bouchafa, S.
PY - 2017
SP - 459
EP - 464
DO - 10.5220/0006474504590464

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