[HTML][HTML] An IoT system using deep learning to classify camera trap images on the edge

I Zualkernan, S Dhou, J Judas, AR Sajun, BR Gomez… - Computers, 2022 - mdpi.com
Camera traps deployed in remote locations provide an effective method for ecologists to
monitor and study wildlife in a non-invasive way. However, current camera traps suffer from …

[HTML][HTML] Adaptive image processing embedding to make the ecological tasks of deep learning more robust on camera traps images

Z Yang, Y Tian, J Zhang - Ecological Informatics, 2024 - Elsevier
Camera traps serve as a valuable tool for wildlife monitoring, generating a vast collection of
images for ecologists to conduct ecological investigations, such as species identification and …

A method for automatic identification and separation of wildlife images using ensemble learning

DY Meng, T Li, HX Li, M Zhang, K Tan, ZP Huang… - Ecological …, 2023 - Elsevier
Camera traps have revolutionized wildlife resource surveys by enabling the acquisition of
comprehensive ecosystem information. Camera traps usually produce massive images …

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

F Simões, C Bouveyron, F Precioso - Ecological Informatics, 2023 - Elsevier
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 …

Class incremental learning for wildlife biodiversity monitoring in camera trap images

H Zhu, Y Tian, J Zhang - Ecological Informatics, 2022 - Elsevier
Camera traps have been widely used for wildlife biodiversity monitoring, providing abundant
ecological data. Manually classifying such abundant images is time-consuming and labor …

[HTML][HTML] DJAN: Deep Joint Adaptation Network for Wildlife Image Recognition

C Zhang, J Zhang - Animals, 2023 - mdpi.com
Simple Summary Identifying wildlife species is crucial in various wildlife monitoring tasks. In
this paper, a wildlife image recognition approach is implemented based on deep learning …

[HTML][HTML] Efficient dual-stream neural networks: A modeling approach for inferring wild mammal behavior from video data

A Xu, Z Hou, J Liang, X Li, X Zhou, H Geng - Ecological Informatics, 2024 - Elsevier
Monitoring animal behavior is crucial for protecting ecosystems, maintaining ecological
balance, and improving animal welfare. By utilizing various monitoring devices, a wealth of …

PARDINUS: Weakly supervised discarding of photo-trapping empty images based on autoencoders

D de la Rosa, AJ Rivera, MJ del Jesus… - arXiv preprint arXiv …, 2023 - arxiv.org
Photo-trapping cameras are widely employed for wildlife monitoring. Those cameras take
photographs when motion is detected to capture images where animals appear. A …

Towards Automatic Animal Classification in Wildlife Environments for Native Species Monitoring in the Amazon

MJ Zurita, D Riofrío, N Pérez, D Romo… - … on Applications of …, 2023 - ieeexplore.ieee.org
Although critical for habitat and species conservation, camera trap image analysis is often
manual, time-consuming, and expensive. Thus, automating this process would allow large …

On the Use of Deep Learning Models for Automatic Animal Classification of Native Species in the Amazon

MJ Zurita, D Riofrío, N Pérez-Pérez, D Romo… - … on Applications of …, 2023 - Springer
Camera trap image analysis, although critical for habitat and species conservation, is often a
manual, time-consuming, and expensive task. Thus, automating this process would allow …