Results 21 to 30 of about 1,565,944 (379)

Removing Human Bottlenecks in Bird Classification Using Camera Trap Images and Deep Learning [PDF]

Remote Sensing, 2023
Birds are important indicators for monitoring both biodiversity and habitat health; they also play a crucial role in ecosystem management. Declines in bird populations can result in reduced ecosystem services, including seed dispersal, pollination and ...
C. Chalmers, P. Fergus, S. Wich, S. Longmore, N. D. Walsh, P. Stephens, Chris S. Sutherland, Naomi Matthews, Jens Mudde, Amira Nuseibeh   +9 more
semanticscholar   +1 more source

Animal Species Recognition with Deep Convolutional Neural Networks from Ecological Camera Trap Images

Animals, 2023
Simple Summary The disappearance of many reptiles and amphibian species is directly and indirectly connected with habitat modification, introducing invasive species, disease, pollution, and climate change.
Sazida Binta Islam, Damian Valles, Toby J. Hibbitts, Wade A. Ryberg, Danielle K. Walkup, M. Forstner   +5 more
semanticscholar   +1 more source

WildCLIP: Scene and animal attribute retrieval from camera trap data with domain-adapted vision-language models

bioRxiv, 2023
Wildlife observation with camera traps has great potential for ethology and ecology, as it gathers data non-invasively in an automated way. However, camera traps produce large amounts of uncurated data, which is time-consuming to annotate.
Valentin Gabeff, Marc Rußwurm, D. Tuia, Alexander Mathis   +3 more
semanticscholar   +1 more source

DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning

Ecological Informatics, 2023
Videos and images from camera traps are more and more used by ecologists to estimate the population of species on a territory. It is a laborious work since experts have to analyse massive data sets manually.
F. Simões, C. Bouveyron, F. Precioso
semanticscholar   +1 more source

The DeepFaune initiative: a collaborative effort towards the automatic identification of European fauna in camera trap images

Zeitschrift f\ ur Jagdwissenschaft, 2023
Camera traps have revolutionized how ecologists monitor wildlife, but their full potential is realized only when the hundreds of thousands of collected images can be readily classified with minimal human intervention.
Noa Rigoudy, Gaspard Dussert, Abdelbaki Benyoub, A. Besnard, Carole Birck, Jérome Boyer, Yoann Bollet, Yoann Bunz, Gérard Caussimont, Elias Chetouane, Jules Chiffard Carriburu, Pierre Cornette, A. Delestrade, Nina De Backer, Lucie Dispan, Maden Le Barh, Jeanne Duhayer, Jean-François Elder, Jean-Baptiste Fanjul, J. Fonderflick, N. Froustey, Mathieu Garel, William Gaudry, Agathe Gérard, Olivier Gimenez, Arzhela Hemery, A. Hemon, J. Jullien, Daniel Knitter, Isabelle Malafosse, M. Mărginean, Louise Ménard, Alice Ouvrier, G. Pariset, V. Prunet, J. Rabault, M. Randon, Y. Raulet, Antoine Régnier, Romain Ribière, J. Ricci, S. Ruette, Yann Schneylin, J. Sentilles, Nathalie Siefert, Bethany R. Smith, Guillaume Terpereau, Pierrick Touchet, W. Thuiller, A. Uzal, Valentin Vautrain, Ruppert Vimal, Julian Weber, B. Spataro, V. Miele, S. Chamaillé‐Jammes   +55 more
semanticscholar   +1 more source

Florida Wildlife Camera Trap Dataset

CoRR, 2021
IEEE Conference on Computer Vision and Pattern Recognition, CV4Animals: Computer Vision for Animal Behavior Tracking and Modeling Workshop ...
Crystal Gagne, Jyoti Kini, Daniel Smith, Mubarak Shah   +3 more
openaire   +2 more sources

Man versus machine: cost and carbon emission savings of 4G-connected Artificial Intelligence technology for classifying species in camera trap images. [PDF]

Sci Rep
Smith J, Wycherley A, Mulvaney J, Lennane N, Reynolds E, Monks CA, Evans T, Mooney T, Fancourt B.   +8 more
europepmc   +3 more sources

Animal Detection and Classification from Camera Trap Images Using Different Mainstream Object Detection Architectures

Animals, 2022
Simple Summary The imagery captured by cameras provides important information for wildlife research and conservation. Deep learning technology can assist ecologists in automatically identifying and processing imagery captured from camera traps, improving
Mengyu Tan, Wen-Chia Chao, Jo-Ku Cheng, Mo Zhou, Yiwen Ma, Xinyi Jiang, J. Ge, Liang Yu, Limin Feng   +8 more
semanticscholar   +1 more source

Use of object detection in camera trap image identification: assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology

bioRxiv, 2022
Camera traps are increasingly used to answer complex ecological questions. However, the rapidly growing number of images collected presents technical challenges. Each image must be classified to extract data, requiring significant labour, and potentially
Mitchell Fennell, C. Beirne, A. C. Burton   +2 more
semanticscholar   +1 more source

First photographic record of marbled cat Pardofelis marmorata Martin, 1837 (Mammalia, Carnivora, Felidae) in Nepal [PDF]

Nature Conservation, 2019
The marbled cat Pardofelis marmorata is a Near Threatened small felid. The cat’s presence in Nepal is based on an anecdote. A camera trap-based study to access diversity and abundance of terrestrial mammals in eastern Nepal accumulated 3,014 camera trap ...
Sonam Tashi Lama, James G. Ross, Damber Bista, Ang Phuri Sherpa, Ganga Ram Regmi, Madan Krishna Suwal, Pema Sherpa, Janno Weerman, Shrota Shrestha Lama, Madhuri Thapa, Laxman Prasad Poudyal, Adrian M. Paterson   +11 more
doaj   +2 more sources