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.
History
Pagination
300-305
Location
Melbourne, Vic.
Start date
2016-11-30
End date
2016-12-03
ISSN
2325-0682
eISSN
2325-0690
ISBN-13
9781509053469
Language
eng
Publication classification
E Conference publication, E1 Full written paper - refereed
Copyright notice
2016, IEEE
Editor/Contributor(s)
[Unknown]
Title of proceedings
ICAMechS 2016 : Proceedings of the 2016 International Conference on Advanced Mechatronic Systems