This paper describes a method for visual surveillance based on biologically motivated
dynamic visual attention in video image sequences. Our system is based on the extraction …

A new computational architecture of dynamic visual attention is introduced in this paper. Our
approach defines a model for the generation of an active attention focus on a dynamic scene …

Visual attention is the ability to rapidly detect the interesting parts of a given scene on which
higher level computer vision tasks can focus. This paper reports a computational model of …

Abstract The Public Authority for Applied Education and Training (PAAET) in Kuwait consists
of more than 10 academic colleges with a total number of 120 faculty members. The College …

A new computational model for active visual attention is introduced in this paper. The
method extracts motion and shape features from video image sequences, and integrates …

To be able to understand the motion of non-rigid objects, techniques in image processing
and computer vision are essential for motion analysis. Lateral interaction in accumulative …

Depth inclusion as an important parameter for dynamic selective visual attention is
presented in this article. The model introduced in this paper is based on two previously …

A neural network model called lateral interaction in accumulative computation for detection
of non-rigid objects from motion of any of their parts in indefinite sequences of images is …

Moving target detection in cluttered backgrounds is always considered a challenging
problem for artificial visual systems, but it is an innate instinct of many animal species …

Some of the major computer vision techniques make use of neural nets. In this paper we
present a novel model based on neural networks denominated lateral interaction in …