Dunn, Mark and Billingsley, John ORCID: https://orcid.org/0000-0002-7198-5594 and Finch, Neal
(2003)
Machine vision classification of animals.
In: 10th Annual Conference on Mechatronics and Machine Vision in Practice, 09-11 Dec 2003, Perth, Australia.
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Dunn_Billingsley_Finch_022livestock.pdf Download (224kB) |
Abstract
This paper proposes a machine vision system suitable for the automatic
classification of animal species. Edge tracking and silhouette
encapsulation using s- psi coding is used to match the outline shape of the
animal against a normalised library. An experimental system is described,
and results from initial tests are reported. The proposed system has great
potential for a low-cost, robust system to remotely monitor or classify
animals.
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Item Type: | Conference or Workshop Item (Commonwealth Reporting Category E) (Paper) |
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Refereed: | Yes |
Item Status: | Live Archive |
Additional Information: | Author retains copyright. Full conference proceedings held in disk format in USQ Library at call no. AV 629.89 Con. |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013) |
Faculty/School / Institute/Centre: | Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering (Up to 30 Jun 2013) |
Date Deposited: | 11 Oct 2007 00:27 |
Last Modified: | 02 Jul 2013 22:33 |
Uncontrolled Keywords: | machine vision, animal classification, pattern recognition |
Fields of Research (2008): | 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation |
Fields of Research (2020): | 40 ENGINEERING > 4007 Control engineering, mechatronics and robotics > 400799 Control engineering, mechatronics and robotics not elsewhere classified |
URI: | http://eprints.usq.edu.au/id/eprint/702 |
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