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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 ...
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 ...
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 ...
A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision
(2011)
Certainly, one of the prominent ideas of Professor José Mira was that it is absolutely mandatory to specify the mechanisms and/or processes underlying each task and inference mentioned in an architecture in order to make ...
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 ...
A model of neural inspiration for local accumulative computation
(2003)
This paper explores the computational capacity of a novel local computational model that expands the conventional analogical and logical dynamic neural models, based on the charge and discharge of a capacity or in the use ...
Lateral interaction in accumulative computation : a model for motion detection
(2003)
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 accumulative computation (LIAC). This model is based ...
A conceptual frame with two neural mechanisms to model selective visual attention processes
(2008)
An important problem in artificial intelligence (AI) is to find calculation procedures to save the semantic gap between the analytic formulations of the neuronal models and the concepts of the natural language used to ...