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Información tecnológica

versão On-line ISSN 0718-0764

Resumo

MENDES, Vilson B; LETA, Fabiana R; CONCI, Aura  e  GONCALVES, Laercio B. Target Angular Position Detection using Computer Vision Techniques and Artificial Neural Networks. Inf. tecnol. [online]. 2010, vol.21, n.6, pp.177-188. ISSN 0718-0764.  http://dx.doi.org/10.4067/S0718-07642010000600018.

This paper presents a system for detecting angular position of targets, using feature extraction techniques in digital imaging and artificial neural networks. Military ships images graphically generated by three-dimensional solid modeling software are used. Several tests using artificial neural networks applied to the set of geometric features were performed. The results show the important contribution of recognition algorithms in determining the ship angular position, regardless of their distance from the observer. The results encourage future applications for tracking targets using infrared images.

Palavras-chave : seguimiento; artificial neural networks; computer vision; infrared images.

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