Machine vision for animal identification

Dunn, Mark (2007) Machine vision for animal identification. Technical Report. University of Southern Queensland , Toowoomba, Australia. [Report]

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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
allows control of water access for species not commonly tagged.

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Item Type:	Report (Technical Report)
Item Status:	Live Archive
Additional Information:	USQ publication.
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013)
Faculty/School / Institute/Centre:	Historic - Faculty of Engineering and Surveying - No Department (Up to 30 Jun 2013)
Date Deposited:	19 Sep 2013 00:10
Last Modified:	19 Sep 2013 00:10
Uncontrolled Keywords:	water supplies; identifying animals; tagged animals; feral; native species; Australia; outdoor cameras
Fields of Research (2008):	07 Agricultural and Veterinary Sciences > 0702 Animal Production > 070203 Animal Management 09 Engineering > 0906 Electrical and Electronic Engineering > 090605 Photodetectors, Optical Sensors and Solar Cells 07 Agricultural and Veterinary Sciences > 0799 Other Agricultural and Veterinary Sciences > 079901 Agricultural Hydrology (Drainage, Flooding, Irrigation, Quality, etc.)
Socio-Economic Objectives (2008):	E Expanding Knowledge > 97 Expanding Knowledge > 970107 Expanding Knowledge in the Agricultural and Veterinary Sciences
URI:	http://eprints.usq.edu.au/id/eprint/23350

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