Automatic detection of lizards

Nguwi, Yok-Yen, Kouzani, Abbas Z., Kumar, Jayanth J., and Driscoll, Don (2016) Automatic detection of lizards. In: Proceedings of the International Conference on Advanced Mechatronic Systems. pp. 300-305. From: ICAMechS 2016: International Conference on Advanced Mechatronic Systems, 30 November - 3 December 2016, Melbourne, VIC, Australia.

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Abstract

This paper discusses the use of image processing technique to detect lizards in a video stream. We discuss the categorization of form perception, human perception, and animal perception. The sub-categories of them are briefly discussed. We defragmented the video into a total of 3459 images, some are with only background scene, some contains lizard. We discuss how we apply background subtraction to segment out the lizard, followed by experiments comparing thresholding values and methods. We achieve an encouraging average hit rate of 98% and average computation time of 1.066 seconds.

Item ID: 46547
Item Type: Conference Item (Research - E1)
ISBN: 978-1-5090-5346-9
Keywords: lizard detection; thresholding; image subtraction; image processing; animal detection
Date Deposited: 24 Jan 2017 23:25
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080106 Image Processing @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8999 Other Information and Communication Services > 899999 Information and Communication Services not elsewhere classified @ 100%
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