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scopus(10)
An anomaly detection system using a GHSOM-1
Conference ObjectAbstract: An anomaly detection system based on a hierarchical self-organizing neural network is presented. ThePalabras claves:Autores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusA Novel Continual Learning Approach for Competitive Neural Networks
Conference ObjectAbstract: Continual learning tries to address the stability-plasticity dilemma to avoid catastrophic forgettinPalabras claves:Competitive neural networks, Continual learning, unsupervised learningAutores:Esteban José Palomo, Fernández-Rodríguez J.D., López-Rubio E., Maza-Quiroga R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusA 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: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: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:scopusMotion detection by microcontroller for panning cameras
Conference ObjectAbstract: Motion detection is the first essential process in the extraction of information regarding moving obPalabras claves:background features, background modeling, detection, Foreground, Probabilistic self-organizing mapsAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusMotion detection with low cost hardware for PTZ cameras
ArticleAbstract: Pan-Tilt-zoom (PTZ) cameras are well suited to motion detection and tracking objects due to their moPalabras claves:background features, background modeling, feed forward neural network, foreground detection, Motion detection, PTZ camerasAutores:Benito-Picazo J., Domínguez E., Esteban José Palomo, López-Rubio E., Ortiz-de-Lazcano-Lobato J.M.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 graphs for data clustering
Conference ObjectAbstract: The self-organizing map (SOM) has been used in multiple areas and constitutes an excellent tool forPalabras claves:data clustering, Graph-based representation, hierarchical clustering, Intrusion Detection Systems, Self-OrganizationAutores:Esteban José Palomo, López-Rodríguez D., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopusObject tracking in video sequences by unsupervised learning
Conference ObjectAbstract: A Growing Competitive Neural Network system is presented as a precise method to track moving objectsPalabras claves:Autores:Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Ortiz-de-Lazcano-Lobato J.M.Fuentes:scopus