Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Greg Falzon"'
Autor:
Wenju Zhang, Yaowu Wang, Leifeng Guo, Greg Falzon, Paul Kwan, Zhongming Jin, Yongfeng Li, Wensheng Wang
Publikováno v:
Animals, Vol 14, Iss 9, p 1324 (2024)
Standing and lying are the fundamental behaviours of quadrupedal animals, and the ratio of their durations is a significant indicator of calf health. In this study, we proposed a computer vision method for non-invasively monitoring of calves’ behav
Externí odkaz:
https://doaj.org/article/d7830934e7ba468a90c65883d1d4e500
Publikováno v:
Ecology and Evolution, Vol 11, Iss 9, Pp 4494-4506 (2021)
Abstract A time‐consuming challenge faced by camera trap practitioners is the extraction of meaningful data from images to inform ecological management. An increasingly popular solution is automated image classification software. However, most solu
Externí odkaz:
https://doaj.org/article/ed3543aba2ba4651b2f20996b13c6a5d
Publikováno v:
Agronomy, Vol 11, Iss 11, p 2290 (2021)
This study presents the Segmented Colour Feature Extreme Learning Machine (SCF-ELM). The SCF-ELM is inspired by the Extreme Learning Machine (ELM) which is known for its rapid training and inference times. The ELM is therefore an ideal candidate for
Externí odkaz:
https://doaj.org/article/1d20c262acf94199aa78eb70bba4fe45
Publikováno v:
Agronomy, Vol 11, Iss 11, p 2365 (2021)
Livestock welfare and management could be greatly enhanced by the replacement of branding or ear tagging with less invasive visual biometric identification methods. Biometric identification of cattle from muzzle patterns has previously indicated prom
Externí odkaz:
https://doaj.org/article/684cef23a2854930b488e49da43bfc5c
Publikováno v:
Sensors, Vol 21, Iss 8, p 2611 (2021)
Image data is one of the primary sources of ecological data used in biodiversity conservation and management worldwide. However, classifying and interpreting large numbers of images is time and resource expensive, particularly in the context of camer
Externí odkaz:
https://doaj.org/article/da55482e3ed14e1887d3af3ce5a481e2
Autor:
Greg Falzon, Christopher Lawson, Ka-Wai Cheung, Karl Vernes, Guy A. Ballard, Peter J. S. Fleming, Alistair S. Glen, Heath Milne, Atalya Mather-Zardain, Paul D. Meek
Publikováno v:
Animals, Vol 10, Iss 1, p 58 (2019)
We present ClassifyMe a software tool for the automated identification of animal species from camera trap images. ClassifyMe is intended to be used by ecologists both in the field and in the office. Users can download a pre-trained model specific to
Externí odkaz:
https://doaj.org/article/ae7b95a123dc4713a85f2f76860fcf32
Autor:
Paul D Meek, Guy-Anthony Ballard, Peter J S Fleming, Michael Schaefer, Warwick Williams, Greg Falzon
Publikováno v:
PLoS ONE, Vol 9, Iss 10, p e110832 (2014)
Camera traps are electrical instruments that emit sounds and light. In recent decades they have become a tool of choice in wildlife research and monitoring. The variability between camera trap models and the methods used are considerable, and little
Externí odkaz:
https://doaj.org/article/4af5263fe0b8403fb2725e92879a50d6
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6420253c8d6d723e0cdecc475ca5c355
https://doi.org/10.1109/tpami.2023.3273210
https://doi.org/10.1109/tpami.2023.3273210
Publikováno v:
Ecology and Evolution, Vol 11, Iss 9, Pp 4494-4506 (2021)
Ecology and Evolution
Ecology and Evolution
A time‐consuming challenge faced by camera trap practitioners is the extraction of meaningful data from images to inform ecological management. An increasingly popular solution is automated image classification software. However, most solutions are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::368860ee03de925897f46425979d7891
https://doaj.org/article/ed3543aba2ba4651b2f20996b13c6a5d
https://doaj.org/article/ed3543aba2ba4651b2f20996b13c6a5d
Publikováno v:
International Journal of Remote Sensing. 41:8121-8142
Quadcopters equipped with machine learning vision systems are bound to become an essential technique for precision agriculture applications in pastures in the near future. This paper presents a low...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cb2dbc35a12e01952416b5ade433d8ac
https://doi.org/10.1080/01431161.2020.1734245
https://doi.org/10.1080/01431161.2020.1734245