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Authors: SeungJong Noh 1 ; Moongu Jeon 1 and Daeyoung Shim 2

Affiliations: 1 Gwangju Institute of Science and Technology, Korea, Republic of ; 2 Kwandong University, Korea, Republic of

Keyword(s): Intelligent Transport System, Vehicle Detection, Sliding Windows Technique.

Abstract: This paper presents a powerful vehicle detection technique employing a novel scene-specific sliding windows strategy. Unlike conventional approaches focusing on only appearance characteristics of vehicles, the proposed detection method also utilizes actually observable size-patterns of vehicles in a road. In our work, good data to train the size-patterns, i.e., size information of non-interacting moving-blobs are first collected based on the developed blob-level analysis technique. Then, a new region-wise sequential clustering algorithm is performed to train and maintain the size-pattern model, which is utilized to deform shapes of the sliding windows scenespecifically at each image position. All the proposed procedures operate full-automatically in real-time without any assumptions, and allow us to achieve more accurate and computationally efficient detection of vehicles in multiple scales and aspect-ratios. In the experiments on the real-time highway system, we found that performan ce of the proposed method is excellent in the aspects of detection accuracy and processing time. (More)

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Paper citation in several formats:
Noh, S.; Jeon, M. and Shim, D. (2013). A New Vehicle Detection Method for Intelligent Transport Systems based on Scene-Specific Sliding Windows. In Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013) - Volume 2: IVC&ITS; ISBN 978-989-8565-70-9; ISSN 2184-2809, SciTePress, pages 537-545. DOI: 10.5220/0004631505370545

@conference{ivc&its13,
author={SeungJong Noh. and Moongu Jeon. and Daeyoung Shim.},
title={A New Vehicle Detection Method for Intelligent Transport Systems based on Scene-Specific Sliding Windows},
booktitle={Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013) - Volume 2: IVC&ITS},
year={2013},
pages={537-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004631505370545},
isbn={978-989-8565-70-9},
issn={2184-2809},
}

TY - CONF

JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics (ICINCO 2013) - Volume 2: IVC&ITS
TI - A New Vehicle Detection Method for Intelligent Transport Systems based on Scene-Specific Sliding Windows
SN - 978-989-8565-70-9
IS - 2184-2809
AU - Noh, S.
AU - Jeon, M.
AU - Shim, D.
PY - 2013
SP - 537
EP - 545
DO - 10.5220/0004631505370545
PB - SciTePress