Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108867
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Type: Conference paper
Title: AFL Player Detection and Tracking
Author: Faulkner, H.
Dick, A.
Citation: Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.100-107
Publisher: IEEE
Issue Date: 2015
ISBN: 9781467367950
Conference Name: 2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, AUSTRALIA)
Statement of
Responsibility: 
Hayden Faulkner, Anthony Dick
Abstract: This paper is an empirical study of the application of visual detection and tracking methods to the problem of locating and tracking all AFL players during a game. While most person detection and tracking algorithms are designed for pedestrians, we show that with appropriate modifications, state of the art methods can be adapted to a more challenging domain where motion is significantly more varied and occurs in a much wider area.
Rights: © 2015 IEEE
DOI: 10.1109/DICTA.2015.7371226
Grant ID: http://purl.org/au-research/grants/arc/LP130100154
Appears in Collections:Aurora harvest 3
Computer Science publications

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