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

SeungJong Noh, Moongu Jeon, Daeyoung Shim

2013

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.

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