loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Marie-Neige Chapel ; Erwan Guillou and Saida Bouakaz

Affiliation: Université de Lyon, CNRS, Université Lyon 1 and LIRIS, France

Keyword(s): Object Detection, Moving Camera, 3D Geometric Constraint, Statistical Analysis.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Pattern Recognition ; Robotics ; Segmentation and Grouping ; Software Engineering

Abstract: The detection of moving objects in the video stream of a moving camera is a complex task. Static objects appear moving in the video stream as moving objects. Thus, it is difficult to identify motions that belong to moving objects because they are hidden by those of static objects. To detect moving objects we propose a novel geometric constraint based on 2D and 3D information. A sparse reconstruction of the visible part of the scene is performed in order to detect motions in the 3D space where the scene perception is not deformed by the camera motion. A first labeling estimation is performed in the 3D space and then apparent motions in the video stream of the moving camera are used to validate the estimation. Labels are computed from confidence values which are updated at each frame according to the geometric constraint. Our method can detect several moving objects in complex scenes with high parallax.

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 3.237.46.120

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:
Chapel, M.; Guillou, E. and Bouakaz, S. (2017). Coupled 2D and 3D Analysis for Moving Objects Detection with a Moving Camera. In Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP; ISBN 978-989-758-227-1; ISSN 2184-4321, SciTePress, pages 236-245. DOI: 10.5220/0006132002360245

@conference{visapp17,
author={Marie{-}Neige Chapel. and Erwan Guillou. and Saida Bouakaz.},
title={Coupled 2D and 3D Analysis for Moving Objects Detection with a Moving Camera},
booktitle={Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP},
year={2017},
pages={236-245},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006132002360245},
isbn={978-989-758-227-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP 2017) - Volume 6: VISAPP
TI - Coupled 2D and 3D Analysis for Moving Objects Detection with a Moving Camera
SN - 978-989-758-227-1
IS - 2184-4321
AU - Chapel, M.
AU - Guillou, E.
AU - Bouakaz, S.
PY - 2017
SP - 236
EP - 245
DO - 10.5220/0006132002360245
PB - SciTePress