Monitoring the effectiveness of fauna sensitive infrastructure along the Peak Downs Highway in Central Queensland reveals mixed results for koala conservation
The koala is endangered in Queensland, New South Wales and the Australian Capital
Territory. Collisions with vehicles are a major threat to the survival of the species. At the end …
Territory. Collisions with vehicles are a major threat to the survival of the species. At the end …
The Potential of Diffusion-Based Near-Infrared Image Colorization
Camera traps, an invaluable tool for biodiversity monitoring, capture wildlife activities day
and night. In low-light conditions, near-infrared (NIR) imaging is commonly employed to …
and night. In low-light conditions, near-infrared (NIR) imaging is commonly employed to …
MARINE: A Computer Vision Model for Detecting Rare Predator-Prey Interactions in Animal Videos
Z Katona, SSM Ziabari, FK Nejadasl - arXiv preprint arXiv:2407.18289, 2024 - arxiv.org
Encounters between predator and prey play an essential role in ecosystems, but their rarity
makes them difficult to detect in video recordings. Although advances in action recognition …
makes them difficult to detect in video recordings. Although advances in action recognition …
Implementation of Temporal Action Detection Workflow for Video Data Analysis with the Use of Machine Learning Operations
MS Kupriyanov, YA Shichkina… - 2024 V International …, 2024 - ieeexplore.ieee.org
The article aims to discuss the peculiarities of using the Machine Learning Operations
paradigm in the context of addressing the task of temporal action detection in video data …
paradigm in the context of addressing the task of temporal action detection in video data …
[PDF][PDF] Zero-shot animal behavior classification with
Camera-traps are a powerful tool for studying wildlife in its natural habitats with minimal 37
disturbance. As they are increasingly deployed throughout the world, a growing need 38 for …
disturbance. As they are increasingly deployed throughout the world, a growing need 38 for …