Machine vision classification of animals

Dunn, Mark and Billingsley, John 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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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)
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.
Depositing User: epEditor USQ
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Mechanical and Mechatronic Engineering
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 (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090602 Control Systems, Robotics and Automation
URI: http://eprints.usq.edu.au/id/eprint/702

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