loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: João F. Henriques ; Rui Caseiro and Jorge Batista

Affiliation: University of Coimbra, Portugal

Keyword(s): Visual surveillance, Tracking, real-time, Dynamic Hungarian algorithm, Region covariance matrices.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Model-Based Object Tracking in Image Sequences ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Real-Time Vision ; Tracking of People and Surveillance

Abstract: Tracking is a crucial task in the context of visual surveillance. There are roughly three classes of trackers: the classical greedy algorithms (based on sequential modeling of targets, such as particle filters), Multiple Hypothesis Tracking (MHT) and its variants, and global optimizers (based on optimal matching algorithms from linear programming). We point out the shortcomings of all approaches, and set out to solve the only gaping deficiency of global optimization trackers, which is their inability to work with streamed video, in continual operation. We present an extension to the new Dynamic Hungarian Algorithm that achieves this effect, and show tracking results in such different conditions as the tracking of humans and vehicles, in different scenes, using the same set of parameters for our tracker.

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 3.93.162.26

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:
Henriques, J.; Caseiro, R. and Batista, J. (2010). DYNAMIC GLOBAL OPTIMIZATION FRAMEWORK FOR REAL-TIME TRACKING. 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 207-215. DOI: 10.5220/0002823502070215

@conference{visapp10,
author={João F. Henriques. and Rui Caseiro. and Jorge Batista.},
title={DYNAMIC GLOBAL OPTIMIZATION FRAMEWORK FOR REAL-TIME TRACKING},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2010) - Volume 1: VISAPP},
year={2010},
pages={207-215},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002823502070215},
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 - DYNAMIC GLOBAL OPTIMIZATION FRAMEWORK FOR REAL-TIME TRACKING
SN - 978-989-674-028-3
IS - 2184-4321
AU - Henriques, J.
AU - Caseiro, R.
AU - Batista, J.
PY - 2010
SP - 207
EP - 215
DO - 10.5220/0002823502070215
PB - SciTePress