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A competitive neural network for multiple object tracking in video sequence analysis
Conference ObjectAbstract: Tracking of moving objects in real situation is a challenging research issue, due to dynamic changesPalabras claves:feature selection, Feature weigthing, Genetic Algorithms, Growing competitive neural networks, Multiple object trackingAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusExploratory Data Analysis and Foreground Detection with the Growing Hierarchical Neural Forest
ArticleAbstract: In this paper, a new self-organizing artificial neural network called growing hierarchical neural foPalabras claves:Clustering, image segmentation, Self-Organization, TEXT MININGAutores:Benítez-Rochel R., Esteban José Palomo, Francisco Ortega-Zamorano, López-Rubio E.Fuentes:scopusImage compression and video segmentation using hierarchical self-organization
Conference ObjectAbstract: Both image compression based on color quantization and image segmentation are two typical tasks in tPalabras claves:foreground detection, Hierarchical self-organizing map, image compression, Self-Organization, Video segmentationAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusSelecting the Color Space for Self-Organizing Map Based Foreground Detection in Video
ArticleAbstract: Detecting foreground objects on scenes is a fundamental task in computer vision and the used color sPalabras claves:color space, foreground detection, Probabilistic self-organising maps, unsupervised learning, Video segmentationAutores:Domínguez E., Esteban José Palomo, López-Rubio E., López-Rubio F.J., Luque-Baena R.M.Fuentes:scopus