Automated detection of koalas with deep learning ensembles

M Winsen, S Denman, E Corcoran, G Hamilton - Remote Sensing, 2022 - mdpi.com
Effective management of threatened and invasive species requires regular and reliable
population estimates. Drones are increasingly utilised by ecologists for this purpose as they …

Automated detection of koalas using low-level aerial surveillance and machine learning

E Corcoran, S Denman, J Hanger, B Wilson… - Scientific reports, 2019 - nature.com
Effective wildlife management relies on the accurate and precise detection of individual
animals. These can be challenging data to collect for many cryptic species, particularly those …

Using YOLO Object Detection to Identify Hare and Roe Deer in Thermal Aerial Video Footage—Possible Future Applications in Real-Time Automatic Drone …

P Povlsen, D Bruhn, P Durdevic, DO Arroyo, C Pertoldi - Drones, 2023 - mdpi.com
Wildlife monitoring can be time-consuming and expensive, but the fast-developing
technologies of uncrewed aerial vehicles, sensors, and machine learning pave the way for …

Detection and tracking of belugas, kayaks and motorized boats in drone video using deep learning

ML Harasyn, WS Chan, EL Ausen… - Drone Systems and …, 2022 - cdnsciencepub.com
Aerial imagery surveys are commonly used in marine mammal research to determine
population size, distribution and habitat use. Analysis of aerial photos involves hours of …

Development of new aerial image datasets and deep learning methods for waterfowl detection and classification

Y Zhang, S Wang, Z Zhai, Y Shang… - 2022 IEEE 4th …, 2022 - ieeexplore.ieee.org
Monitoring waterfowl populations and distribution is important for conservation. This paper
presents our recent work on creating new aerial image datasets collected by drones and …

When you can't see the koalas for the trees: Using drones and machine learning in complex environments

G Hamilton, E Corcoran, S Denman… - Biological …, 2020 - Elsevier
Targeted management of threatened species is central to preventing species extinctions,
and effective monitoring forms a crucial component of successful management programmes …

[HTML][HTML] Waid: A large-scale dataset for wildlife detection with drones

C Mou, T Liu, C Zhu, X Cui - Applied Sciences, 2023 - mdpi.com
Drones are widely used for wildlife monitoring. Deep learning algorithms are key to the
success of monitoring wildlife with drones, although they face the problem of detecting small …

Effectiveness of using drones and convolutional neural networks to monitor aquatic megafauna

AB Woolcock, S Cotton, AJ Cotton - African Journal of Ecology, 2022 - Wiley Online Library
Aquatic megafauna are difficult to observe and count due to the inaccessibility and issues of
detectability. Traditional transect and helicopter counts are useful for obtaining population …

Drones and deep learning produce accurate and efficient monitoring of large-scale seabird colonies

MC Hayes, PC Gray, G Harris, WC Sedgwick… - The Condor, 2021 - academic.oup.com
Population monitoring of colonial seabirds is often complicated by the large size of colonies,
remote locations, and close inter-and intra-species aggregation. While drones have been …

Deep object detection for waterbird monitoring using aerial imagery

K Kabra, A Xiong, W Li, M Luo, W Lu… - 2022 21st IEEE …, 2022 - ieeexplore.ieee.org
Monitoring of colonial waterbird nesting islands is essential to tracking waterbird population
trends, which are used for evaluating ecosystem health and informing conservation …