Listar por autor "Luque-Baena, Rafael Marcos"
Mostrando ítems 41-60 de 61
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A new self-organizing neural gas model based on Bregman divergences
Palomo-Ferrer, Esteban José
; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos (2018-07-20)
In this paper, a new self-organizing neural gas model that we call Growing Hierarchical Bregman Neural Gas (GHBNG) has been proposed. Our proposal is based on the Growing Hierarchical Neural Gas (GHNG) in which Bregman ... -
Optimized instance segmentation by super-resolution and maximal clique generation.
García Aguilar, Iván; García-González, Jorge; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Domínguez-Merino, Enrique (IOS press, 2023-05-10)
The rise of surveillance systems has led to exponential growth in collected data, enabling several advances in Deep Learning to exploit them and automate tasks for autonomous systems. Vehicle detection is a crucial task ... -
Panorama Construction for PTZ Camera Surveillance with the Neural Gas network
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Ángel (Wiley, 2018-04)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Panoramic Background Modeling for PTZ Cameras with Competitive Learning Neural Networks
Thurnhofer-Hemsi, Karl; López-Rubio, Ezequiel; Domínguez, Enrique; Luque-Baena, Rafael Marcos; Molina-Cabello, Miguel Ángel (2017-05-29)
The construction of a model of the background of a scene still remains as a challenging task in video surveillance systems, in particular for moving cameras. This work presents a novel approach for constructing a panoramic ... -
Pixel Features for Self-organizing Map Based Detection of Foreground Objects in Dynamic Environments
Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; Luque-Baena, Rafael Marcos; Domínguez, Enrique; Palomo-Ferrer, Esteban José
Among current foreground detection algorithms for video sequences, methods based on self-organizing maps are obtaining a greater relevance. In this work we propose a probabilistic self-organising map based model, which ... -
Pneumonia Detection in Chest X-ray Images using Convolutional Neural Networks
Pneumonia is an infectious and deadly disease which strikes over millions of people. Usually, chest X-rays are used by radiotherapist to diagnose pneumonia. In this paper, a Computer- Aided Diagnosis (CAD) system for ... -
Prediction of Optimal Locations for 5G Base Stations in Urban Environments Using Neural Networks and Satellite Image Analysis.
García Aguilar, Iván; Galeano-Brajones, Jesús; Luna-Valero, Francisco; Carmona Murillo, Javier; Fernández-Rodríguez, Jose David; Luque-Baena, Rafael Marcos[et al.] (Springer, 2024)
Deploying 5G networks in urban areas is crucial for meeting the increasing demand for high-speed, low-latency wireless communications. However, the complex topography and diverse building structures in urban environments ... -
Reconocimiento y seguimiento de objetos mediante redes neuronales para el entrenamiento individual en el baloncesto
(2024)Este documento tiene como objetivo el estudio de un campo en pleno desarrollo y de investigación creciente como es el de reconocimiento de imágenes. Son numerosos los trabajos que se centran en esta rama de la informática ... -
Redes de sensores seguras y eficientes con beamforming
Valenzuela-Valdés, Juan Francisco; Luna, Francisco; Padilla, Pablo; Padilla, José Luis; Luque-Baena, Rafael Marcos (2017-07-03)
Mejorar la eficiencia energética de las redes de sensores (WSN, por sus siglas en inglés) es uno de sus principales objetivos de diseño. De entre las distintas líneas de trabajo existentes en esta área, el uso del ... -
Road pollution estimation from vehicle tracking in surveillance videos by deep convolutional neural networks
García-González, Jorge; Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; Ortiz-de-Lazcano-Lobato, Juan Miguel; López-Rubio, Ezequiel (ELSEVIER, 2021-12)
Air quality and reduction of emissions in the transport sector are determinant factors in achieving a sustainable global climate. The monitoring of emissions in traffic routes can help to improve route planning and to ... -
Road pollution estimation using static cameras and neural networks
Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Deka, Lipika; Thurnhofer-Hemsi, Karl (2018-07-19)
Este artículo presenta una metodología para estimar la contaminación en carreteras mediante el análisis de secuencias de video de tráfico. El objetivo es aprovechar la gran red de cámaras IP existente en el sistema de ... -
Segmentación de imágenes de úlceras por presión mediante aprendizaje profundo
(2022-06)Las úlceras por presión son lesiones producidas en la piel por una presión o fricción sufridas durante un gran periodo de tiempo. Estas úlceras presentan cinco tejidos, piel, periúlcera, granulación, esfacelos y necrótico, ... -
Segmentación y detección de objetos en imágenes y vídeo mediante inteligencia computacional
Molina-Cabello, Miguel Ángel (UMA Editorial, 2018-11-09)
La presente tesis trata sobre el procesamiento y análisis de imágenes y video mediante sistemas informáticos. Primeramente se hace una introducción, especificando contexto, objetivos y metodología. Luego se muestran los ... -
Small-Scale Urban Object Anomaly Detection Using Convolutional Neural Networks with Probability Estimation.
García Aguilar, Iván; Luque-Baena, Rafael Marcos; Domínguez-Merino, Enrique; López-Rubio, Ezequiel (MDPI, 2023-08-15)
Anomaly detection in sequences is a complex problem in security and surveillance. With the exponential growth of surveillance cameras in urban roads, automating them to analyze the data and automatically identify anomalous ... -
Stenosis detection in coronary angiography images using deep learning models
Luque-Baena, Rafael Marcos; Romero Granados, Irene; Jiménez-Partinen, Ariadna; Palomo-Ferrer, Esteban José (2022)
The emergence of deep learning has caused its massive application to different fields in industry and research, among which is the clinical field, especially in those where the data is structured in the form of images ... -
The effect of downsampling-upsampling strategy on foreground detection algorithms
Molina-Cabello, Miguel Ángel; García-González, Jorge; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel (Springer Nature, 2020)
In video surveillance systems which incorporate stationary cameras, the first phase of movement object detection is crucial for the correct modelling of the behavior of these objects, as well as being the most complex in ... -
Vehicle Classification in Traffic Environments Using the Growing Neural Gas
Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Ortiz-de-Lazcano-Lobato, Juan Miguel; Domínguez-Merino, Enrique; Muñoz Pérez, José[et al.] (Springer, 2017)
Traffic monitoring is one of the most popular applications of automated video surveillance. Classification of the vehicles into types is important in order to provide the human traffic controllers with updated information ... -
Vehicle overtaking hazard detection over onboard cameras using deep convolutional networks
García-González, Jorge; García Aguilar, Iván; Medina, Daniel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Domínguez, Enrique[et al.] (2022)
The development of artificial vision systems to support driving has been of great interest in recent years, especially after new learning models based on deep learning. In this work, a framework is proposed for detecting ... -
Vehicle Type Detection by Convolutional Neural Networks
Molina-Cabello, Miguel Ángel; Luque-Baena, Rafael Marcos; López-Rubio, Ezequiel; Thurnhofer-Hemsi, Karl (Springer, 2017)
In this work a new vehicle type detection procedure for traffic surveillance videos is proposed. A Convolutional Neural Network is integrated into a vehicle tracking system in order to accomplish this task. Solutions for ...