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scopus(8)
Deep 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: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 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: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: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: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