loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: D. F. Llorca 1 ; I. Parra 2 ; R. Quintero 1 ; C. Fernández 1 ; R. Izquierdo 1 and M. A. Sotelo 1

Affiliations: 1 University of Alcalá, Spain ; 2 Polytechnic University of Madrid, Spain

ISBN: 978-989-758-040-6

Keyword(s): Stereo-vision, Pedestrian Detection, Pedestrian Behaviour, Pedestrian Crossings, Accepted Gap.

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: In this paper, a stereo- and infrastructure-based pedestrian detection system is presented to deal with infrastructure-based pedestrian safety measurements as well as to assess pedestrian behaviour modelling methods. Pedestrian detection is performed by region growing over temporal 3D density maps, which are obtained by means of stereo reconstruction and background modelling. 3D tracking allows to correlate the pedestrian position with the different pedestrian crossing regions (waiting and crossing areas). As an example of an infrastructure safety system, a blinking luminous traffic sign is switched on to warn the drivers about the presence of pedestrians in the waiting and the crossing regions. The detection system provides accurate results even for nighttime conditions: an overall detection rate of 97.43% with one false alarm per each 10 minutes. In addition, the proposed approach is validated for being used in pedestrian behaviour modelling, applying logistic regression to model th e probability of a pedestrian to cross or wait. Some of the predictor variables are automatically obtained by using the pedestrian detection system. Other variables are still needed to be labelled using manual supervision. A sequential feature selection method showed that time-to-collision and pedestrian waiting time (both variables automatically collected) are the most significant parameters when predicting the pedestrian intent. An overall predictive accuracy of 93.10% is obtained, which clearly validates the proposed methodology. (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.204.48.199

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
F. Llorca, D.; Parra, I.; Quintero, R.; Fernández, C.; Izquierdo, R. and A. Sotelo, M. (2014). Stereo-based Pedestrian Detection in Crosswalks for Pedestrian Behavioural Modelling Assessment.In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-040-6, pages 102-109. DOI: 10.5220/0005055401020109

@conference{icinco14,
author={D. F. Llorca. and I. Parra. and R. Quintero. and C. Fernández. and R. Izquierdo. and M. A. Sotelo.},
title={Stereo-based Pedestrian Detection in Crosswalks for Pedestrian Behavioural Modelling Assessment},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={102-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005055401020109},
isbn={978-989-758-040-6},
}

TY - CONF

JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Stereo-based Pedestrian Detection in Crosswalks for Pedestrian Behavioural Modelling Assessment
SN - 978-989-758-040-6
AU - F. Llorca, D.
AU - Parra, I.
AU - Quintero, R.
AU - Fernández, C.
AU - Izquierdo, R.
AU - A. Sotelo, M.
PY - 2014
SP - 102
EP - 109
DO - 10.5220/0005055401020109

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.