REAL TIME OBJECT TRACKING ON GPGPU

Maciej Chociej; Adam Polak

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Paper

REAL TIME OBJECT TRACKING ON GPGPU

Topics: Optical Flow and Motion Analyses; Tracking and Visual Navigation

In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, 303-310, 2012 , Rome, Italy

Authors: Maciej Chociej and Adam Polak

Affiliation: Jagiellonian University, Poland

Keyword(s): Motion Tracking, GPGPU, Optical Flow, Foreground Separation.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Motion, Tracking and Stereo Vision ; Optical Flow and Motion Analyses ; Tracking and Visual Navigation

Abstract: We propose a system for tracking objects in a video stream from a stationary camera. Our method, as often used, involves foreground-background separation and optical flow calculation. The major finding is fast feedback process that leads to an accurate detection of background-object and object-object boundaries and maintaining them during object occlusions. The contribution of this paper also includes improvements to computing dense optical flow and foreground separation. The methods described were implemented on a GPGPU and yield performance results sufficient for real time processing. Additionally, our approach makes no a priori assumptions on the characteristics of tracked objects and can be utilized to track both rigid and deformable objects of various shapes and sizes.

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Paper citation in several formats:

Chociej, M. and Polak, A. (2012). REAL TIME OBJECT TRACKING ON GPGPU. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP; ISBN 978-989-8565-04-4; ISSN 2184-4321, SciTePress, pages 303-310. DOI: 10.5220/0003862303030310

@conference{visapp12,
author={Maciej Chociej. and Adam Polak.},
title={REAL TIME OBJECT TRACKING ON GPGPU},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP},
year={2012},
pages={303-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003862303030310},
isbn={978-989-8565-04-4},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 1: VISAPP
TI - REAL TIME OBJECT TRACKING ON GPGPU
SN - 978-989-8565-04-4
IS - 2184-4321
AU - Chociej, M.
AU - Polak, A.
PY - 2012
SP - 303
EP - 310
DO - 10.5220/0003862303030310
PB - SciTePress