REAL TIME OBJECT TRACKING ON GPGPU

Maciej Chociej, Adam Polak

2012

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.

Paper Citation

in Harvard Style

Chociej M. and Polak A. (2012). REAL TIME OBJECT TRACKING ON GPGPU . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-04-4, pages 303-310. DOI: 10.5220/0003862303030310

in Bibtex Style

@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 - Volume 2: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={303-310},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003862303030310},
isbn={978-989-8565-04-4},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2012)
TI - REAL TIME OBJECT TRACKING ON GPGPU
SN - 978-989-8565-04-4
AU - Chociej M.
AU - Polak A.
PY - 2012
SP - 303
EP - 310
DO - 10.5220/0003862303030310