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Title: Camera Trapping Technology and Related Advances: into the New Millennium
Contributor(s): Meek, Paul D  (author); Ballard, Guy  (author)orcid ; Falzon, Greg  (author)orcid ; Williamson, Jaimen  (author); Milne, Heath  (author); Farrell, Robert  (author); Stover, Joshua  (author); Mather-Zardain, Atalya T (author); Bishop, James C  (author)orcid ; Cheung, Elrond Ka-Wai  (author); Lawson, Christopher K  (author); Munezero, Amos M  (author); Schneider, Derek  (author)orcid ; Johnston, Beau E  (author); Kiani, Ehsan  (author)orcid ; Shahinfar, Saleh  (author); Sadgrove, Edmund J  (author)orcid ; Fleming, Peter J S  (author)
Publication Date: 2020-05-01
Early Online Version: 2019-11
DOI: 10.7882/AZ.2019.035
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Abstract: Camera trapping has advanced significantly in Australia over the last two decades. These devices have become more versatile and the associated computer technology has also progressed dramatically since 2011. In the USA, the hunting industry drives most changes to camera traps; however the scientific fraternity has been instrumental in incorporating computational engineering, statistics and technology into camera trap use for wildlife research. New survey methods, analytical tools (including software for image processing and storage) and complex algorithms to analyse images have been developed. For example, pattern and texture analysis and species and individual facial recognition are now possible. In the next few decades, as technology evolves and ecological and computational sciences intertwine, new tools and devices will emerge into the market. Here we outline several projects that are underway to incorporate camera traps and associated technologies into existing and new tools for wildlife management. These also have significant implications for broader wildlife management and research.
Publication Type: Journal Article
Source of Publication: Australian Zoologist, 40(3), p. 392-403
Publisher: Royal Zoological Society of New South Wales
Place of Publication: Australia
ISSN: 2204-2105
Fields of Research (FoR) 2020: 460103 Applications in life sciences
Socio-Economic Objective (SEO) 2020: 220402 Applied computing
109902 Animal welfare
220403 Artificial intelligence
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Environmental and Rural Science
School of Science and Technology

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