Results 61 to 70 of about 1,565,944 (379)

Domain-Aware Neural Architecture Search for Classifying Animals in Camera Trap Images

open access: yesAnimals, 2022
Simple Summary Camera traps acquire visual data in a non-disturbing and round-the-clock manner, so they are popular for ecological researchers observing wildlife. Each camera trap may record thousands of images of diverse species and bring about millions
Liang Jia, Ye Tian, Junguo Zhang
semanticscholar   +1 more source

Biodiversity estimates from different camera trap surveys: a case study from Osogovo Mt., Bulgaria

open access: yesNature Conservation Research: Заповедная наука, 2018
Inventorying mammal assemblages is vital for their conservation and management, especially when they include rare or endangered species. However, obtaining a correct estimation of the species diversity in a particular area can be challenging due to ...
Diana P. Zlatanova, Elitsa D. Popova
doaj   +1 more source

Camera‐trapping version 3.0: current constraints and future priorities for development

open access: yesRemote Sensing in Ecology and Conservation, 2019
Camera traps are a widely used tool in wildlife research and conservation, but in situ factors such as theft, poor performance in extreme environments and damage by wildlife may be hindering the effectiveness of the technology.
Paul Glover‐Kapfer   +2 more
doaj   +1 more source

Density Estimation of Unmarked Populations Using Camera Traps in Heterogeneous Space

open access: yesWildlife Society Bulletin, 2020
Camera traps are commonly used to monitor animal populations, but statistical estimators of density from camera‐trap data for species that cannot be individually identified are still in development, and few models take space use into account.
Gai Luo   +3 more
doaj   +1 more source

Using camera traps to estimate ungulate abundance: a comparison of mark–resight methods

open access: yesRemote Sensing in Ecology and Conservation, 2022
Many global wildlife populations are experiencing unprecedented declines. Estimates of population abundance are needed to effectively manage common species and to conserve vulnerable species.
Jace C. Taylor   +4 more
doaj   +1 more source

Factors affecting the identification of individual mountain bongo antelope [PDF]

open access: yes, 2015
The recognition of individuals forms the basis of many endangered species monitoring protocols. This process typically relies on manual recognition techniques.
Alibhai   +42 more
core   +3 more sources

Mammal population density estimation using camera traps based on a random encounter model: theoretical basis and practical recommendations

open access: yesNature Conservation Research: Заповедная наука, 2023
Estimating the population density of mammals has long been one of the problematic tasks of both fundamental population ecology and practical programmes for their conservation and management. The majority of methods for population density estimation using
Sergey S. Ogurtsov
doaj   +1 more source

Low-cost optical manipulation using hanging droplets of PDMS [PDF]

open access: yes, 2015
We propose and demonstrate a low-cost optical micromanipulation system that makes use of simple microfrabricated components coupled to a smartphone camera for imaging. Layering hanging droplets of polydimethylsiloxane (PDMS) on microscope coverslips, and
Ashkin   +20 more
core   +3 more sources

Automatically identifying, counting, and describing wild animals in camera-trap images with deep learning

open access: yesProceedings of the National Academy of Sciences of the United States of America, 2017
Significance Motion-sensor cameras in natural habitats offer the opportunity to inexpensively and unobtrusively gather vast amounts of data on animals in the wild.
M. S. Norouzzadeh   +6 more
semanticscholar   +1 more source

Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images

open access: yesJournal of Imaging, 2022
This paper presents the evaluation of 36 convolutional neural network (CNN) models, which were trained on the same dataset (ImageNet). The aim of this research was to evaluate the performance of pre-trained models on the binary classification of images ...
Adam Stančić   +2 more
semanticscholar   +1 more source

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