AFL Player Detection and Tracking

Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/108867

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DC Field	Value	Language
dc.contributor.author	Faulkner, H.	-
dc.contributor.author	Dick, A.	-
dc.date.issued	2015	-
dc.identifier.citation	Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015, pp.100-107	-
dc.identifier.isbn	9781467367950	-
dc.identifier.uri	http://hdl.handle.net/2440/108867	-
dc.description.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.	-
dc.description.statementofresponsibility	Hayden Faulkner, Anthony Dick	-
dc.language.iso	en	-
dc.publisher	IEEE	-
dc.rights	© 2015 IEEE	-
dc.source.uri	http://dx.doi.org/10.1109/dicta.2015.7371226	-
dc.title	AFL Player Detection and Tracking	-
dc.type	Conference paper	-
dc.contributor.conference	2015 International Conference on Digital Image Computing: Techniques and Applications (DICTA 2015) (23 Nov 2015 - 25 Nov 2015 : Adelaide, AUSTRALIA)	-
dc.identifier.doi	10.1109/DICTA.2015.7371226	-
dc.relation.grant	http://purl.org/au-research/grants/arc/LP130100154	-
pubs.publication-status	Published	-
dc.identifier.orcid	Dick, A. [0000-0001-9049-7345]	-
Appears in Collections:	Aurora harvest 3 Computer Science publications

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