Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/11294
Title: CART application to image primitives tracking
Authors: Álvarez León, Luis Miguel 
Henríquez Castellano, Pedro 
Sánchez, Javier 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: CART
Decision tree
Vision
Issue Date: 2011
Abstract: 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
Source: CAEPIA 11: Conferencia de la Asociación Española para la Inteligencia Artifical. -- Las Palmas de Gran Canaria, Centro de Tecnologías de la Imagen (CTIM),Universidad de Las Palmas de Gran Canaria, 2011, p. 1-10
Rights: by-nc-nd
Appears in Collections:Actas de congresos
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