Computer vision applications based on videos often require the detection of moving objects
in their first step. Background subtraction is then applied in order to separate the background …

Ecologists often study wildlife populations by deploying camera traps. Large datasets are
generated using this approach which can be difficult for research teams to manually …

Robust principal component analysis (RPCA) via decomposition into low-rank plus sparse
matrices offers a powerful framework for a large variety of applications such as image …

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 …

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 …

Simple Summary Thermal imaging is gaining popularity in poultry, swine, and dairy animal
husbandry for detecting disease and distress. In this study, we present a depthwise …

Monitoring of animal behavior in the wild supposes the reliable techniques for their species
recognition using, mainly, visual data captured by camera traps. In this paper, we propose to …

The camera traps have revolutionized the image and video capture in ecology and are often
used to monitor and record animal presence. With miniaturization of low power electronic …

Large amounts of labeled training data are one of the main contributors to the great success
that deep models have achieved in the past. Label acquisition for tasks other than …

Motion-sensor camera traps help collect images of animals in the wild without intruding
upon their native habitat. To obtain key insights about animal health and population …