Utiliza este identificador para citar o vincular este elemento: http://hdl.handle.net/10553/11294
Títulos: CART application to image primitives tracking
Autores/as: Álvarez León, Luis Miguel 
Henríquez Castellano, Pedro 
Sánchez, Javier 
Clasificación UNESCO: 33 Ciencias tecnológicas
Palabras clave: CART
Decision tree
Vision
Fecha de publicación: 2011
Resumen:  In this paper we present a new method for image primitives tracking based on a CART (Classification and Regression Tree). Primitives tracking procedure uses lines and circles as primitives. We have applied the proposed method to sport event scenarios, specifically, soccer matches. We estimate CART parameters using a learning procedure based on RGB image channels. In order to illustrate its performance, it has been applied to real HD (High Definition) video sequences and some numerical experiments are shown. The quality of the primitives tracking with the decision tree is validated by the percentage error rates obtained and the comparison with other techniques as a morphological method. We also present applications of the proposed method to camera calibration and graphic object insertion in real video sequences.
URI: http://hdl.handle.net/10553/11294
Derechos: by-nc-nd
Aparece en la colección:Actas de Congresos

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