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Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)(2)
Advances in Intelligent Systems and Computing(1)
Artificial Intelligence Review(1)
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scopus(5)
Motion 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:scopusImage hierarchical segmentation based on a GHSOM
Conference ObjectAbstract: A novel approach for image segmentation is proposed in this paper. This approach is based on the groPalabras claves:background modeling, data clustering, Hierarchical self-organization, segmentationAutores:Domínguez E., Esteban José Palomo, Luque-Baena R.M., Muñoz J.Fuentes:scopusPixel features for self-organizing map based detection of foreground objects in dynamic environments
Conference ObjectAbstract: Among current foreground detection algorithms for video sequences, methods based on self-organizingPalabras claves:background features, background modeling, foreground detection, Probabilistic self-organising mapsAutores:Domínguez E., Esteban José Palomo, López-Rubio E., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopusThe effect of noise on foreground detection algorithms
ArticleAbstract: Background segmentation methods are exposed to the effects of different kinds of noise due to the liPalabras claves:background modeling, Covariance matrix regularization, foreground detection, Gaussian noise, Uniform noiseAutores:Domínguez E., Esteban José Palomo, López-Rubio E., López-Rubio F.J., Luque-Baena R.M., Molina-Cabello M.A.Fuentes:scopus