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 …

A central goal of animal ecology is to observe species in the natural world. The cost and
challenge of data collection often limit the breadth and scope of ecological study. Ecologists …

It is desirable for detection and classification algorithms to generalize to unfamiliar
environments, but suitable benchmarks for quantitatively studying this phenomenon are not …

Open-set classification is a problem of handling'unknown'classes that are not contained in
the training dataset, whereas traditional classifiers assume that only known classes appear …

Camera traps enable the automatic collection of large quantities of image data. Ecologists
use camera traps to monitor animal populations all over the world. In order to estimate the …

Biologists all over the world use camera traps to monitor biodiversity and wildlife population
density. The computer vision community has been making strides towards automating the …

We propose a generalized Sparse Representation-based Classification (SRC) algorithm for
open set recognition where not all classes presented during testing are known during …

Deep learning-based methods have produced significant gains for hyperspectral image
(HSI) classification in recent years, leading to high impact academic achievements and …

Human observation is expensive and limits the breadth of data collection. For this reason,
remotely placed video cameras are increasingly used to monitor animals. One drawback of …

People residing on the outskirts of forests encounter numerous challenges in their daily lives
due to conflicts between humans and wild animals. This conflict has resulted in the loss of …