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Authors: Marc Lalonde 1 ; Pierre-Luc St-Charles 1 ; Délia Loupias 2 ; Claude Chapdelaine 1 and Samuel Foucher 1

Affiliations: 1 Computer Research Institute of Montreal, Canada ; 2 Institut National des Sciences Appliquées, France

Keyword(s): Visual Odometry, SLAM, Direct Sparse Odometry.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Image and Video Analysis ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Video Analysis

Abstract: This paper describes a prototype for the localization of pedestrians carrying a video camera. The application envisioned here is to analyze the trajectories of blind people going across long crosswalks when following an accessible pedestrian signal (APS), in the context of signal optimization. Instead of relying on an observer for manually logging the subjects’ position at regular time intervals with respect to the crosswalk, we propose to equip the subjects with a wearable camera: a visual odometry algorithm then recovers the trajectory and spatial analysis can then determine to which extent the subject remained within reasonable boundaries while performing the crossing. Preliminary tests in conditions similar to a street crossing show that our results qualitatively agree with the physical behavior of the subject.

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Paper citation in several formats:
Lalonde, M.; St-Charles, P.; Loupias, D.; Chapdelaine, C. and Foucher, S. (2018). Localizing People in Crosswalks using Visual Odometry: Preliminary Results. In Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM; ISBN 978-989-758-276-9; ISSN 2184-4313, SciTePress, pages 482-487. DOI: 10.5220/0006646904820487

@conference{icpram18,
author={Marc Lalonde. and Pierre{-}Luc St{-}Charles. and Délia Loupias. and Claude Chapdelaine. and Samuel Foucher.},
title={Localizing People in Crosswalks using Visual Odometry: Preliminary Results},
booktitle={Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM},
year={2018},
pages={482-487},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006646904820487},
isbn={978-989-758-276-9},
issn={2184-4313},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Pattern Recognition Applications and Methods - ICPRAM
TI - Localizing People in Crosswalks using Visual Odometry: Preliminary Results
SN - 978-989-758-276-9
IS - 2184-4313
AU - Lalonde, M.
AU - St-Charles, P.
AU - Loupias, D.
AU - Chapdelaine, C.
AU - Foucher, S.
PY - 2018
SP - 482
EP - 487
DO - 10.5220/0006646904820487
PB - SciTePress

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