loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Cristina Maduro ; Katherine Batista ; Paulo Peixoto and Jorge Batista

Affiliation: FCTUC University of Coimbra, Portugal

Keyword(s): Image rectification, vehicle velocity, video sequences.

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

Abstract: In this paper we propose a technique to estimate vehicles velocity, using rectified images that represent a top view of the highway. To rectify image sequences captured by uncalibrated cameras, this method automatically estimates two vanishing points using lines from the image plane. This approach requires two known lengths on the ground plane and can be applied to highways that are fairly straight near the surveillance camera. Once the background image is rectified it is possible to locate the stripes and boundaries of the highway lanes. This process may also be used to count vehicles, estimate their velocities and the mean velocity associated to each of the previously identified highway lanes.

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 3.142.199.138

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:
Maduro, C.; Batista, K.; Peixoto, P. and Batista, J. (2008). ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES. In Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP; ISBN 978-989-8111-21-0; ISSN 2184-4321, SciTePress, pages 551-558. DOI: 10.5220/0001088205510558

@conference{visapp08,
author={Cristina Maduro. and Katherine Batista. and Paulo Peixoto. and Jorge Batista.},
title={ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES},
booktitle={Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP},
year={2008},
pages={551-558},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001088205510558},
isbn={978-989-8111-21-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Third International Conference on Computer Vision Theory and Applications (VISIGRAPP 2008) - Volume 1: VISAPP
TI - ESTIMATING VEHICLE VELOCITY USING RECTIFIED IMAGES
SN - 978-989-8111-21-0
IS - 2184-4321
AU - Maduro, C.
AU - Batista, K.
AU - Peixoto, P.
AU - Batista, J.
PY - 2008
SP - 551
EP - 558
DO - 10.5220/0001088205510558
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic