A New Vehicle Detection Method for Intelligent Transport Systems based on Scene-Specific Sliding Windows

SeungJong Noh, Moongu Jeon, Daeyoung Shim

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 performance of the proposed method is excellent in the aspects of detection accuracy and processing time.

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Paper Citation


in Harvard Style

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 - Volume 1: IVC&ITS, (ICINCO 2013) ISBN 978-989-8565-70-9, pages 537-545. DOI: 10.5220/0004631505370545


in Bibtex Style

@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 - Volume 1: IVC&ITS, (ICINCO 2013)},
year={2013},
pages={537-545},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004631505370545},
isbn={978-989-8565-70-9},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Informatics in Control, Automation and Robotics - Volume 1: IVC&ITS, (ICINCO 2013)
TI - A New Vehicle Detection Method for Intelligent Transport Systems based on Scene-Specific Sliding Windows
SN - 978-989-8565-70-9
AU - Noh S.
AU - Jeon M.
AU - Shim D.
PY - 2013
SP - 537
EP - 545
DO - 10.5220/0004631505370545