Accurate detection of individual animals is integral to the management of vulnerable wildlife
species, but often difficult and costly to achieve for species that occur over wide or …

Object detection on drone-captured scenarios is a recent popular task. As drones always
navigate in different altitudes, the object scale varies violently, which burdens the …

This work presented a literature review on animal species and individual identification tools,
as well as animal monitoring capabilities. We gathered the literature to cover different …

Abstract Knowledge over the number of animals in large wildlife reserves is a vital necessity
for park rangers in their efforts to protect endangered species. Manual animal censuses are …

Analyzing videos and images captured by unmanned aerial vehicles or aerial drones is an
emerging application attracting significant attention from researchers in various areas of …

For assistance with grazing cattle management, we propose a cattle detection and counting
system based on Convolutional Neural Networks (CNNs) using aerial images taken by an …

Object detection in Unmanned Aerial Vehicle (UAV) images plays fundamental roles in a
wide variety of applications. As UAVs are maneuverable with high speed, multiple …

Vehicle detection is a significant and challenging task in aerial remote sensing applications.
Most existing methods detect vehicles with regular rectangle boxes and fail to offer the …

The potency of object detection techniques using Unmanned Aerial Vehicles (UAVs) is
unprecedented due to their mobility. This potency has stimulated the use of UAVs with object …

Object detection in uncrewed aerial vehicle (UAV) images has been a longstanding
challenge in the field of computer vision. Specifically, object detection in drone images is a …