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Algorithmic lateral inhibition method in dynamic and selective visual attention task: application to moving objects detection and labelling.
(2006)
In a recent article, knowledge modelling at the knowledge level for the task of moving objects detection in image sequences has been introduced. In this paper, the algorithmic lateral inhibition (ALI) method is now applied ...
The underlying formal model of algorithmic lateral inhibition
(2007)
Many researchers have explored the relationship between recurrent neural networks and finite state machines. Finite state machines constitute the best characterized computational model, whereas artificial neural networks ...
Dynamic visual attention model in image sequences
(2007)
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 captured from a still or moving ...
Stereovision depth analysis by two-dimensional motion charge memories
(2007)
Several strategies to retrieve depth information from a sequence of images have been described so far. In this paper a method that turns around the existing symbiosis between stereovision and motion is introduced; motion ...
Neurally inspired mechanisms of the dynamic visual attention map generation task
(2003)
A model for dynamic visual attention is briefly introduced in this paper. A PSM (problem-solving method) for a generic ?Dynamic Attention Map Generation? task to obtain a Dynamic Attention Map from a dynamic scene is ...
Step-by-step description of lateral interaction in accumulative computation
(2007)
In this paper we present a method for moving objects detection and labeling denominated Lateral Interaction in Accumulative Computation (LIAC). The LIAC method usefulness in the general task of motion detection may be ...
Spatio-temporal shape building from image sequences using lateral interaction in accumulative computation
(2003)
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 computation for extracting non-rigid shapes ...
Face recognition by counter-propagation networks
(SIARP, 2000)
The functionality of counter-propagation nets applied to face recognition is presented inthis paper. The chosen procedure basically transforms the image into a vector of numbers andpasses them to the net’s input layer. The ...
Accumulative computation method for motion features extraction in active selective visual attention
(2005)
A new method for active visual attention is briefly introduced in this paper. The method extracts motion and shape features from indefinite image sequences, and integrates these features to segment the input scene. The aim ...
On motion detection through a multi-layer neural network architecture
(2003)
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 presented. Some biological evidences ...