loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nicolas Pugeault 1 ; Karl Pauwels 2 ; Mark M. Van Hulle 2 ; Florian Pilz 3 and Norbert Krüger 4

Affiliations: 1 University of Surrey, United Kingdom ; 2 Katholieke Universiteit Leuven, Belgium ; 3 Aalborg Universitet Copenhagen, Denmark ; 4 University of Southern Denmark, Denmark

Keyword(s): Motion detection, 3D reconstruction, Egomotion, Independently moving objects.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Detecting 3D Objects Using Patterns of Motion and Appearance ; Geometry and Modeling ; Human-Computer Interaction ; Image-Based Modeling ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Software Engineering ; Stereo Vision and Structure from Motion

Abstract: We present a three–level architecture for detection and tracking of independently moving objects (IMOs) in sequences recorded from a moving vehicle. At the first stage, image pixels with an optical flow that is not entirely induced by the car’s motion are detected by combining dense optical flow, egomotion extracted from this optical flow, and dense stereo. These pixels are segmented and an attention mechanism is used to process them at finer resolution at the second level making use of sparse 2D and 3D edge descriptors. Based on the rich and precise information on the second level, the full rigid motion for the environment and for each IMO is computed. This motion information is then used for tracking, filtering and the building of a 3D model of the street structure as well as the IMO. This multi-level architecture allows us to combine the strength of both dense and sparse processing methods in terms of precision and computational complexity, and to dedicate more processing capacity to the important parts of the scene (the IMOs). (More)

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 35.171.22.220

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:
Pugeault, N.; Pauwels, K.; M. Van Hulle, M.; Pilz, F. and Krüger, N. (2010). A THREE-LEVEL ARCHITECTURE FOR MODEL–FREE DETECTION AND TRACKING OF INDEPENDENTLY MOVING OBJECTS. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: VISAPP; ISBN 978-989-674-028-3; ISSN 2184-4321, SciTePress, pages 237-244. DOI: 10.5220/0002838002370244

@conference{visapp10,
author={Nicolas Pugeault. and Karl Pauwels. and Mark {M. Van Hulle}. and Florian Pilz. and Norbert Krüger.},
title={A THREE-LEVEL ARCHITECTURE FOR MODEL–FREE DETECTION AND TRACKING OF INDEPENDENTLY MOVING OBJECTS},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: VISAPP},
year={2010},
pages={237-244},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002838002370244},
isbn={978-989-674-028-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: VISAPP
TI - A THREE-LEVEL ARCHITECTURE FOR MODEL–FREE DETECTION AND TRACKING OF INDEPENDENTLY MOVING OBJECTS
SN - 978-989-674-028-3
IS - 2184-4321
AU - Pugeault, N.
AU - Pauwels, K.
AU - M. Van Hulle, M.
AU - Pilz, F.
AU - Krüger, N.
PY - 2010
SP - 237
EP - 244
DO - 10.5220/0002838002370244
PB - SciTePress