Machine vision for animal identification
Technical report
Dunn, Mark. 2007. Machine vision for animal identification. Toowoomba, Australia. University of Southern Queensland.
Title | Machine vision for animal identification |
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Report Type | Technical report |
Authors | |
Author | Dunn, Mark |
Institution of Origin | University of Southern Queensland |
Number of Pages | 2 |
Year | 2007 |
Publisher | University of Southern Queensland |
Place of Publication | Toowoomba, Australia |
Web Address (URL) | http://www.ncea.org.au |
Abstract | In the Great Artesian Basin there has been a program of capping bores and piping water to control points. Access to water can therefore be controlled for feral and native animals as well as farmed livestock. While National Livestock Identification Scheme (NLIS) tags are becoming common, the use of machine vision to identify animals based on their shape |
Keywords | water supplies; identifying animals; tagged animals; feral; native species; Australia; outdoor cameras |
ANZSRC Field of Research 2020 | 300302. Animal management |
400999. Electronics, sensors and digital hardware not elsewhere classified | |
300201. Agricultural hydrology | |
Public Notes | File reproduced in accordance with the copyright policy of the publisher/author. |
Byline Affiliations | National Centre for Engineering in Agriculture |
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https://research.usq.edu.au/item/q1y4q/machine-vision-for-animal-identification
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