Browsing Artikler, rapporter, filmer / Articles, reports, movies by Subject "VDP::Matematikk og Naturvitenskap: 400::Informasjons- og kommunikasjonsvitenskap: 420::Simulering, visualisering, signalbehandling, bildeanalyse: 429"
Now showing items 1-5 of 5
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Automated visitor and wildlife monitoring with camera traps and machine learning
(Peer reviewed; Journal article, 2023)As human activities in natural areas increase, understanding human–wildlife interactions is crucial. Big data approaches, like large-scale camera trap studies, are becoming more relevant for studying these interactions. ... -
Deep learning–based automated measurements of the scrotal circumference of Norwegian Red bulls from 3D images
(Peer reviewed; Journal article, 2023)The main aim of this study was to create an automated method for the measurement of the scrotal circumference (SC) of Norwegian Red bulls using 3D images of the scrotum based on convolutional neural networks. The study ... -
Drone-Based Thermal Imaging in the Detection of Wildlife Carcasses and Disease Management
(Peer reviewed; Journal article, 2023)Because animal carcasses often serve as reservoirs for pathogens, their location and removal are crucial in controlling the spread of diseases. During carcass decomposition, heat is emitted due to microbial activity and ... -
Estimating effective survey duration in camera trap distance sampling surveys
(Peer reviewed; Journal article, 2023)Among other approaches, camera trap distance sampling (CTDS) is used to estimate animal abundance from unmarked populations. It was formulated for videos and observation distances are measured at predetermined ‘snapshot ... -
Towards complete tree crown delineation by instance segmentation with Mask R–CNN and DETR using UAV-based multispectral imagery and lidar data
(Peer reviewed, 2023)Precise single tree delineation allows for a more reliable determination of essential parameters such as tree species, height and vitality. Methods of instance segmentation are powerful neural networks for detecting and ...