Machine vision classification of animals

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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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:	File reproduced in accordance with the copyright policy of the publisher/author.
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:	08 Nov 2022 00:37
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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