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Object learning and detection using evolutionary deformable models for mobile robot navigation

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dc.contributor.author Mata Ortega, Mario spa
dc.contributor.author Armingol, José María spa
dc.contributor.author Fernández Andrés, Javier spa
dc.contributor.author Escalera, Arturo de la spa
dc.date.accessioned 2013-11-27T17:26:35Z
dc.date.available 2013-11-27T17:26:35Z
dc.date.issued 2008 spa
dc.identifier.citation Mata-Ortega, M., Armingol, J. M., Fernández, J., & Escalera, A. (2008). Object learning and detection using evolutionary deformable models for mobile robot navigation. Robotica, 26(1), 99-107. spa
dc.identifier.issn 02635747 spa
dc.identifier.uri http://hdl.handle.net/11268/873
dc.description.abstract Deformable models have been studied in image analysis over the last decade and used for recognition of flexible or rigid templates under diverse viewing conditions. This article addresses the question of how to define a deformable model for a real-time color vision system for mobile robot navigation. Instead of receiving the detailed model definition from the user, the algorithm extracts and learns the information from each object automatically. How well a model represents the template that exists in the image is measured by an energy function. Its minimum corresponds to the model that best fits with the image and it is found by a genetic algorithm that handles the model deformation. At a later stage, if there is symbolic information inside the object, it is extracted and interpreted using a neural network. The resulting perception module has been integrated successfully in a complex navigation system. Various experimental results in real environments are presented in this article, showing the effectiveness and capacity of the system. spa
dc.language.iso eng spa
dc.title Object learning and detection using evolutionary deformable models for mobile robot navigation spa
dc.type article spa
dc.description.impact 0,781 JCR (2008) Q3, 9/14 Robotics spa
dc.identifier.doi 10.1017/S0263574707003633 spa
dc.rights.accessRights closedAccess en
dc.subject.unesco Robótica spa
dc.subject.unesco Reconocimiento de formas spa
dc.description.filiation UEM spa
dc.peerreviewed Si spa


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