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 …

Background modeling for foreground detection is often used in different applications to
model the background and then detect the moving objects in the scene like in video …

Background modeling and foreground detection are important steps in video processing
used to detect robustly moving objects in challenging environments. This requires effective …

Biologists often have to investigate large amounts of video in behavioral studies of animals.
These videos are usually not sufficiently indexed which makes the finding of objects of …

Collaborative wildlife monitoring and tracking at large scales will help us understand the
complex dynamics of wildlife systems, evaluate the impact of human actions and …

Detecting large animals on roadways using automated systems such as robots or vehicles is
a vital task. This can be achieved using conventional tools such as ultrasonic sensors, or …

In this work, we propose a method for the classification of animal in images. Initially, a graph
cut based method is used to perform segmentation in order to eliminate the background from …

Animal and Vehicle Collisions (AVCs) have been a growing concern in North America since
the abundant wildlife resources and increases of automobiles. Such problems cause …

Detecting and tracking social marine mammals, including bottlenose dolphins, can help to
explain their social dynamics, predict their behavior, and measure the impact of human …

Traditional methods of detecting animals in paddy fields and farms include the use of human
eyes to witness animal movements. It is not possible for human beings to monitor animal …