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 …

In this paper, we present an active sampling method to speed up conventional pixel-wise
background subtraction algorithms. The proposed active sampling strategy is designed to …

Detecting the moving vehicles in jittering traffic scenes is a very difficult problem because of
the complex environment. Only by the color features of the pixel or only by the texture …

Object detection and Tracking are important tasks in both moving and static camera
applications like unmanned vehicles, human-assisted vehicles, product parts inspection …

Pawlak's flowgraph has been applied as a suitable data structure for description and
analysis of human behaviour in the area supervised with multicamera video surveillance …

A method of modeling the time of object transition between given pairs of cameras based on
the Gaussian Mixture Model (GMM) is proposed in this article. Temporal dependencies …

Detection of moving objects is often the first stage in many computer vision applications
through the use of static or moving cameras. Subsequently, the separation process between …

As more cores are integrated in a single chip with sophisticated process like nano
technology, testing signal integrity between the cores needs much effort due to complicate …

In this paper, methodology of acquisition and processing of video streams for the purpose of
modelling object behaviour is presented. Multilevel contextual video processing was also …

In this thesis, we present a robust descriptor for background subtraction based on an
unsupervised anomaly detection algorithm, called DeepSphere which is able to detect …