loading
Papers Papers/2020

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Mahdi Momeni-K. 1 ; Sotirios Ch. Diamantas 2 ; Fabio Ruggiero 3 and Bruno Siciliano 3

Affiliations: 1 Ecole Centrale de Nantes, France ; 2 Pusan National University, Korea, Republic of ; 3 UniversitĂ  degli Studi di Napoli Federico II, Italy

Keyword(s): Height Estimation, Monocular Camera, Vanishing Point.

Related Ontology Subjects/Areas/Topics: Active and Robot Vision ; Applications ; Computer Vision, Visualization and Computer Graphics ; Features Extraction ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Robotics ; Software Engineering

Abstract: This paper presents a novel technique for the estimation of the height of an object using a single camera view. In the proposed method, the only information required is the knowledge about the pose of the camera with respect to the world (i.e., height and pitch angle of the camera with respect to the ground) and a vanishing point. In the developed theory, the focal length may also be known, but in the proposed experiments it has not been employed: an approximation for small pitch angles has been taken into account and the consequent committed error has been then analysed. The presented method gives accurate results for any object placed in unstructured environments, regardless of the relative distance from the camera. The method has been tested in a series of outdoor and indoor environments, and the experimental results are presented in this paper.

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 3.236.232.99

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:
Momeni-K., M.; Ch. Diamantas, S.; Ruggiero, F. and Siciliano, B. (2012). HEIGHT ESTIMATION FROM A SINGLE CAMERA VIEW. In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7; ISSN 2184-4321, pages 358-364. DOI: 10.5220/0003866203580364

@conference{visapp12,
author={Mahdi Momeni{-}K.. and Sotirios {Ch. Diamantas}. and Fabio Ruggiero. and Bruno Siciliano.},
title={HEIGHT ESTIMATION FROM A SINGLE CAMERA VIEW},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={358-364},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003866203580364},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - HEIGHT ESTIMATION FROM A SINGLE CAMERA VIEW
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Momeni-K., M.
AU - Ch. Diamantas, S.
AU - Ruggiero, F.
AU - Siciliano, B.
PY - 2012
SP - 358
EP - 364
DO - 10.5220/0003866203580364

0123movie.net