loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Constant Guillot 1 ; Quoc-Cuong Pham 1 ; Patrick Sayd 1 ; Christophe Tilmant 2 and Jean-Marc Lavest 2

Affiliations: 1 CEA LIST, France ; 2 PRES Clermont Université/CNRS, France

Keyword(s): Stationary Object, PTZ Camera, Multiview Matching.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Video Surveillance and Event Detection

Abstract: We propose a novel approach for detecting and localising stationary objects using a pair of PTZ cameras monitoring a wide scene. First we propose a stationary object detection and labelling algorithm. It relies on the re-identification of foreground blocks of the image and an MRF framework to detect and separate the stationary objects of the scene. Second we propose a geometric approach for robustly matching the detected silhouettes of stationary objects from a pair of PTZ cameras. Our system is tested on challenging sequences which prove its robustness to occlusions even in an unknown non planar 3D scene.

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 18.191.254.0

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:
Guillot, C.; Pham, Q.; Sayd, P.; Tilmant, C. and Lavest, J. (2012). DETECTION AND LOCALISATION OF STATIONARY OBJECTS WITH A PAIR OF PTZ CAMERAS. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 591-596. DOI: 10.5220/0003827205910596

@conference{visapp12,
author={Constant Guillot. and Quoc{-}Cuong Pham. and Patrick Sayd. and Christophe Tilmant. and Jean{-}Marc Lavest.},
title={DETECTION AND LOCALISATION OF STATIONARY OBJECTS WITH A PAIR OF PTZ CAMERAS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={591-596},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003827205910596},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - DETECTION AND LOCALISATION OF STATIONARY OBJECTS WITH A PAIR OF PTZ CAMERAS
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Guillot, C.
AU - Pham, Q.
AU - Sayd, P.
AU - Tilmant, C.
AU - Lavest, J.
PY - 2012
SP - 591
EP - 596
DO - 10.5220/0003827205910596
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