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A neighborhood-based competitive network for video segmentation and object detection
Conference ObjectAbstract: This work proposes an unsupervised competitive neural network based on adaptive neighborhoods for viPalabras claves:Autores:Domínguez E., Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M.Fuentes:scopusAssessment of geometric features for individual identification and verification in biometric hand systems
ArticleAbstract: This paper studies the reliability of geometric features for the identification of users based on haPalabras claves:Genetic Algorithms, Geometric features, Hand biometrics, User identificationAutores:Elizondo D., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Watson T.Fuentes:scopusAn ART-type network approach for video object detection
Conference ObjectAbstract: This paper presents an ART-type network (adaptive resonant theory) to detect objects in a video sequPalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.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:scopusDeep learning-based video surveillance system managed by low cost hardware and panoramic cameras
ArticleAbstract: The design of automated video surveillance systems often involves the detection of agents which exhiPalabras claves:Convolutional neural network, feed forward neural network, foreground detection, panoramic cameraAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E.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:scopusGrowing 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: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:scopus