[HTML][HTML] Challenges and perspectives on tackling illegal or unsustainable wildlife trade
CS Fukushima, P Tricorache, A Toomes… - Biological …, 2021 - Elsevier
Illegal or unsustainable wildlife trade (IUWT) currently presents one of the most high-profile
conservation challenges. There is no “one-size-fits-all” strategy, and a variety of disciplines …
conservation challenges. There is no “one-size-fits-all” strategy, and a variety of disciplines …
Review on methods used for wildlife species and individual identification
T Petso, RS Jamisola Jr, D Mpoeleng - European Journal of Wildlife …, 2022 - Springer
This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …
as well as animal monitoring capabilities. We gathered the literature to cover different …
Chimpanzee face recognition from videos in the wild using deep learning
Video recording is now ubiquitous in the study of animal behavior, but its analysis on a large
scale is prohibited by the time and resources needed to manually process large volumes of …
scale is prohibited by the time and resources needed to manually process large volumes of …
[HTML][HTML] CattleFaceNet: A cattle face identification approach based on RetinaFace and ArcFace loss
Cattle identification is crucial to be registered for breeding association, food quality tracing,
disease prevention and control and fake insurance claims. Traditional non-biometrics …
disease prevention and control and fake insurance claims. Traditional non-biometrics …
Deep learning framework for recognition of cattle using muzzle point image pattern
Animal biometrics is a frontier area of computer vision, pattern recognition and cognitive
science to plays the vital role for the registration, unique identification, and verification of …
science to plays the vital role for the registration, unique identification, and verification of …
Automated facial recognition for wildlife that lack unique markings: A deep learning approach for brown bears
M Clapham, E Miller, M Nguyen… - Ecology and …, 2020 - Wiley Online Library
Emerging technologies support a new era of applied wildlife research, generating data on
scales from individuals to populations. Computer vision methods can process large datasets …
scales from individuals to populations. Computer vision methods can process large datasets …
Automated muzzle detection and biometric identification via few-shot deep transfer learning of mixed breed cattle
Livestock welfare and management could be greatly enhanced by the replacement of
branding or ear tagging with less invasive visual biometric identification methods. Biometric …
branding or ear tagging with less invasive visual biometric identification methods. Biometric …
Identification of animal individuals using deep learning: A case study of giant panda
Giant panda (Ailuropoda melanoleuca) is an iconic species of conservation. However, long-
term monitoring of wild giant pandas has been a challenge, largely due to the lack of …
term monitoring of wild giant pandas has been a challenge, largely due to the lack of …
Design patterns for wildlife‐related camera trap image analysis
This paper describes and explains design patterns for software that supports how analysts
can efficiently inspect and classify camera trap images for wildlife‐related ecological …
can efficiently inspect and classify camera trap images for wildlife‐related ecological …
Automatic identification of individual primates with deep learning techniques
The difficulty of obtaining reliable individual identification of animals has limited researcher's
ability to obtain quantitative data to address important ecological, behavioral, and …
ability to obtain quantitative data to address important ecological, behavioral, and …