Modelling the Stereovision-Correspondence-Analysis task by Lateral Inhibition in Accumulative Computation problem-solving method

  • Authors:
  • Antonio Fernández-Caballero;Marıa T. López;José Mira;Ana E. Delgado;José M. López-Valles;Miguel A. Fernández

  • Affiliations:
  • Departamento de Sistemas Informáticos, Escuela Politécnica Superior de Albacete, and Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 0 ...;Departamento de Sistemas Informáticos, Escuela Politécnica Superior de Albacete, and Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 0 ...;Departamento de Inteligencia Artificial, E.T.S. Ingenierıa Informática, Universidad Nacional de Educación a Distancia, 28040 Madrid, Spain;Departamento de Inteligencia Artificial, E.T.S. Ingenierıa Informática, Universidad Nacional de Educación a Distancia, 28040 Madrid, Spain;Departamento de Telecomunicación, Escuela Universitaria Politécnica de Cuenca, Universidad de Castilla-La Mancha, 13071 Cuenca, Spain;Departamento de Sistemas Informáticos, Escuela Politécnica Superior de Albacete, and Instituto de Investigación en Informática de Albacete, Universidad de Castilla-La Mancha, 0 ...

  • Venue:
  • Expert Systems with Applications: An International Journal
  • Year:
  • 2007

Quantified Score

Hi-index 12.06

Visualization

Abstract

Recently, the Algorithmic Lateral Inhibition (ALI) method and the Accumulative Computation (AC) method have proven to be efficient in modelling at the knowledge level for general-motion-detection tasks in video sequences. More precisely, the task of persistent motion detection has been widely expressed by means of the AC method, whereas the ALI method has been used with the objective of moving objects detection, labelling and further tracking. This paper exploits the current knowledge of our research team on the mentioned problem-solving methods to model the Stereovision-Correspondence-Analysis (SCA) task. For this purpose, ALI and AC methods are combined into the Lateral Inhibition in Accumulative Computation (LIAC) method. The four basic subtasks, namely ''LIAC 2D Charge-Memory Calculation'', ''LIAC 2D Charge-Disparity Analysis'' and ''LIAC 3D Charge-Memory Calculation'' in our proposal of SCA are described in detail by inferential CommonKADS schemes. It is shown that the LIAC method may perfectly be used to solve a complex task based on motion information inherent to binocular video sequences.