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Growing competitive network for tracking objects in video sequences
Conference ObjectAbstract: The aim of this paper is to present the use of Growing Competitive Neural Networks as a precise methPalabras claves:Autores:Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusHierarchical color quantization based on self-organization
ArticleAbstract: In this paper, a new hierarchical color quantization method based on self-organizing maps that proviPalabras claves:Color quantization, GHSOM, Hierarchical compression, Self-OrganizationAutores:Domínguez E., Esteban José PalomoFuentes:scopusHierarchical self-organizing networks for multispectral data visualization
Conference ObjectAbstract: Image segmentation is a typical task in the field of image processing. There is a great number of imPalabras claves:data clustering, hierarchical self-organizing maps, Multispectral data, Self-OrganizationAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusExtended abstract: A color quantization approach based on the Growing Neural Forest
Conference ObjectAbstract: In this work, a novel color quantization approach based on the Growing Neural Forest (GNF) is proposPalabras claves:Color quantization, Self-Organization, Tree-structured model, unsupervised learningAutores:Esteban José Palomo, López-Rubio E.Fuentes:scopusFeature selection of hand biometrical traits based on computational intelligence techniques
Conference ObjectAbstract: This chapter presents a novel methodology for using feature selection in hand biometric systems, basPalabras claves:Autores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusFeature weighting in competitive learning for multiple object tracking in video sequences
Conference ObjectAbstract: Object tracking in video sequences remains as one of the most challenging problems in computer visioPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusFrame size reduction for foreground detection in video sequences
Conference ObjectAbstract: A frame resolution reduction framework to reduce the computational load and improve the foreground dPalabras claves:foreground detection, Interpolation techniques, Video size reductionAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusGA-based feature selection approach in biometric hand systems
Conference ObjectAbstract: In this paper, a novel methodology for using feature selection in hand biometric systems, based on gPalabras claves:Autores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M.Fuentes:scopusDeep learning-based anomalous object detection system for panoramic cameras managed by a Jetson TX2 board
Conference ObjectAbstract: Social conflicts appearing in the media are increasing public awareness about security issues, resulPalabras claves:deep learning, panoramic cameras, Power saving, video surveillanceAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ramos-Jimenez G.Fuentes:scopusDeep learning-based anomalous object detection system powered by microcontroller for PTZ cameras
Conference ObjectAbstract: Automatic video surveillance systems are usually designed to detect anomalous objects being presentPalabras claves:Convolutional neural network, feed forward neural network, foreground detection, PTZ cameraAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopus