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Authors: Jinzi Mao ; David Mould and Sriram Subramanian

Affiliation: University of Saskatchewan, Canada

ISBN: 978-972-8865-74-0

Keyword(s): Motion tracking, background subtraction, real-time vision, tennis ball detection, tennis ball tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Detecting 3D Objects Using Patterns of Motion and Appearance ; 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

Abstract: In this paper we investigate real-time tracking of a tennis-ball using various image differencing techniques. First, we considered a simple background subtraction method with subsequent ball verification (BS). We then implemented two variants of our initial background subtraction method. The first is an image differencing technique that considers the difference in ball position between the current and previous frames along with a background model that uses a single Gaussian distribution for each pixel. The second is uses a mixture of Gaussians to accurately model the background image. Each of these three techniques constitutes a complete solution to the tennis ball tracking problem. In a detailed evaluation of the techniques in different lighting conditions we found that the mixture of Gaussians model produces the best quality tracking. Our contribution in this paper is the observation that simple background subtraction can outperform more sophisticated techniques on difficult problem s, and we provide a detailed evaluation and comparison of the performance of our techniques, including a breakdown of the sources of error. (More)

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Paper citation in several formats:
Mao J.; Mould D.; Subramanian S. and (2007). BACKGROUND SUBTRACTION FOR REALTIME TRACKING OF A TENNIS BALL.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 978-972-8865-74-0, pages 427-434. DOI: 10.5220/0002048004270434

@conference{visapp07,
author={Jinzi Mao and David Mould and Sriram Subramanian},
title={BACKGROUND SUBTRACTION FOR REALTIME TRACKING OF A TENNIS BALL},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2007},
pages={427-434},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002048004270434},
isbn={978-972-8865-74-0},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - BACKGROUND SUBTRACTION FOR REALTIME TRACKING OF A TENNIS BALL
SN - 978-972-8865-74-0
AU - Mao, J.
AU - Mould, D.
AU - Subramanian, S.
PY - 2007
SP - 427
EP - 434
DO - 10.5220/0002048004270434

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