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Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method.

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dc.contributor.author Fernández Caballero, Antonio es_ES
dc.contributor.author López Valles, José María es_ES
dc.contributor.author Delgado García, Ana Esperanza es_ES
dc.contributor.author Mira Mira, José es_ES
dc.contributor.author López Bonal, María Teresa es_ES
dc.contributor.author Fernández Graciani, Miguel Ángel es_ES
dc.date.accessioned 2012-03-21T07:13:14Z
dc.date.available 2012-03-21T07:13:14Z
dc.date.issued 2007 es_ES
dc.identifier.citation Expert Systems with Applications, 2007, 33(4): 955-967 es_ES
dc.identifier.issn 0957-4174 es_ES
dc.identifier.uri http://hdl.handle.net/10578/2153
dc.description.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. es_ES
dc.format text/plain en_US
dc.language.iso es en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Ingenierías es_ES
dc.title Modelling the stereovision-correspondence-analysis task by lateral inhibition in accumulative computation problem-solving method. es_ES
dc.type info:eu-repo/semantics/article en_US


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