The availability of a background model that describes the scene is a prerequisite for many computer vision applications. In several situations, the model cannot be easily generated …
With increasing popularity of smart phone cameras and wearable cameras, it is imperative to develop robust vision systems in analyzing videos captured by these freely moving cameras …
Abstract Pan-tilt-zoom (PTZ) cameras are well suited to motion detection and tracking objects due to their mobility. Motion detection approaches based on background difference …
Background modeling is a preliminary task for many computer vision applications, describing static elements of a scene and isolating foreground ones. Defining a robust …
Video streams from panoramic cameras represent a powerful tool for automated surveillance systems, but naïve implementations typically require very intensive …
In this paper a controller for PTZ cameras based on an unsupervised neural network model is presented. It takes advantage of the foreground mask generated by a non-parametric …
This paper presents a new system to detect changes between reference and target videos suitable for small-scale datasets. Twin pre-trained ResNet-50 features are processed using …
Automatic video surveillance systems are usually designed to detect anomalous objects being present in a scene or behaving dangerously. In order to perform adequately, they …
Social conflicts appearing in the media are increasing public awareness about security issues, resulting in a higher demand of more exhaustive environment monitoring methods …