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

MS Norouzzadeh, A Nguyen… - Proceedings of the …, 2018 - National Acad Sciences
Having accurate, detailed, and up-to-date information about the location and behavior of
animals in the wild would improve our ability to study and conserve ecosystems. We …

Integrated animal monitoring system with animal detection and classification capabilities: a review on image modality, techniques, applications, and challenges

N Sundaram, SD Meena - Artificial Intelligence Review, 2023 - Springer
The continuous monitoring of animals is crucial for the well-being of both humans and
animals. A comprehensive animal monitoring system must incorporate animal detection …

Automated detection of European wild mammal species in camera trap images with an existing and pre-trained computer vision model

C Carl, F Schönfeld, I Profft, A Klamm… - European journal of …, 2020 - Springer
The use of camera traps is a nonintrusive monitoring method to obtain valuable information
about the appearance and behavior of wild animals. However, each study generates …

An efficient framework for animal breeds classification using semi-supervised learning and multi-part convolutional neural network (MP-CNN)

SD Meena, L Agilandeeswari - IEEE Access, 2019 - ieeexplore.ieee.org
The automatic classification of animal images is an onerous task due to the challenging
image conditions, especially when it comes to animal breeds. In this paper, we built a semi …

[PDF][PDF] A literature review of computer vision techniques in wildlife monitoring

SB Neupane, K Sato, BP Gautam - IJSRP, 2022 - researchgate.net
Wildlife monitoring is critical for reducing poaching activities, tracking instinctive behavior,
understanding the habitat, and recording the wild animal population. Biologists and …

A performance comparison and enhancement of animal species detection in images with various R-CNN models

M Ibraheam, KF Li, F Gebali, LE Sielecki - AI, 2021 - mdpi.com
Object detection is one of the vital and challenging tasks of computer vision. It supports a
wide range of applications in real life, such as surveillance, ship**, and medical …

UR-SolarCap: An open source intelligent auto-wakeup solar energy harvesting system for supercapacitor-based energy buffering

M Hassanalieragh, T Soyata, A Nadeau… - IEEE Access, 2016 - ieeexplore.ieee.org
Energy harvesting systems that couple solar panels with supercapacitor buffers offer an
attractive option for powering computational systems deployed in field settings, where power …

Zilong: A tool to identify empty images in camera-trap data

W Wei, G Luo, J Ran, J Li - Ecological Informatics, 2020 - Elsevier
The use of camera traps to research and monitor wildlife results in a large number of
images. Many of the images are the result of a false trigger, resulting in an empty photo …

MammalClub: An Annotated Wild Mammal Dataset for Species Recognition, Individual Identification, and Behavior Recognition

W Lu, Y Zhao, J Wang, Z Zheng, L Feng, J Tang - Electronics, 2023 - mdpi.com
Mammals play an important role in conserving species diversity and maintaining ecological
balance, so research on mammal species composition, individual identification, and …

The IoT-based real-time image processing for animal recognition and classification using deep convolutional neural network (DCNN)

T Surya, S Selvaperumal - Microprocessors and Microsystems, 2022 - Elsevier
Abstract Human-Wildlife Conflict (HWC) is one of the crucial threats in Valparai and the
surrounding region in Anamalai Tiger Reserves (ATR), Tamil Nadu, India. In this work, we …