Listar por autor "Benítez-Rochel, Rafaela"
Mostrando ítems 1-9 de 9
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Anomalous trajectory detection for automated traffic video surveillance
Fernández-Rodríguez, Jose David; García-González, Jorge; Benítez-Rochel, Rafaela
; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel; García-González, Jorge[et al.] (2022)
Vehicle trajectories extracted from traffic video sequences can be helpful for many purposes. In particular, the analysis of detected anomalous trajectories may enhance drivers’ safety. This work proposes a methodology to ... -
Automated detection of vehicles with anomalous trajectories in traffic surveillance videos.
Fernández-Rodríguez, Jose David; García-González, Jorge; Benítez-Rochel, Rafaela; Molina-Cabello, Miguel Ángel; Ramos-Jiménez, Gonzalo Pascual; López-Rubio, Ezequiel[et al.] (IOS Press, 2023-05-10)
Video feeds from traffic cameras can be useful for many purposes, the most critical of which are related to monitoring road safety. Vehicle trajectory is a key element in dangerous behavior and traffic accidents. In this ... -
Clasificación de lesiones en la piel usando un aprendizaje profundo
(2020-01-22)Cada vez se realizan más búsquedas en internet sobre medicina y temas de salud. Las personas cada día depositan su confianza en internet para resolver todo tipo de problemas, y por desgracia, están dejando de acudir a ... -
Content Based Image Retrieval by Convolutional Neural Networks
Hamreras, Safa; Benítez-Rochel, Rafaela; Boucheham, Bachir; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel (2019-06-07)
In this paper, we present a Convolutional Neural Network (CNN) for feature extraction in Content based Image Retrieval (CBIR). The proposed CNN aims at reducing the semantic gap between low level and high-level features. ... -
Content-based image retrieval by ensembles of deep learning object classifiers.
Hamreras, Safa; Boucheham, Bachir; Molina-Cabello, Miguel Ángel; Benítez-Rochel, Rafaela; López-Rubio, Ezequiel (2020-05-20)
Ensemble learning has demonstrated its efficiency in many computer vision tasks. In this paper, we address this paradigm within content based image retrieval (CBIR). We propose to build an ensemble of convolutional neural ... -
Impacto del ruido gaussiano y el brillo en redes neuronales de detección de objetos pre-entrenadas.
(2024)El Aprendizaje Profundo aplicado al procesamiento de imágenes y vídeos se trata de una actividad cada vez mas presente en la actualidad. Dentro de esta aplicación de lo que hoy día conocemos como Inteligencia Artificial, ... -
Mitigating Carlini & Wagner attacks with Encoding Generative Adversarial Network.
Tell-Gónzalez, Guillermo; Fernández-Rodríguez, Jose David; Molina-Cabello, Miguel Ángel; Benítez-Rochel, Rafaela; López-Rubio, Ezequiel (2024)
Deep Learning models are experiencing a significant surge in popularity, expanding into various domains, including critical applications like object recognition in autonomous vehicles, where any failure could have fatal ... -
Servicios cognitivos para el diseño de agentes conversacionales: Un enfoque teórico-práctico
(2021-09)El desarrollo de agentes artificiales capaces de emular las capacidades cogni tivas de los seres humanos ha sido siempre uno de los objetivos más ambiciosos de los investigadores de las Ciencias de la Computación, más ... -
Unsupervised Detection of Incoming and Outgoing Traffic Flows in Video Sequences.
Fernández-Rodríguez, Jose David; Carmona-Martínez, Pablo; Benítez-Rochel, Rafaela; Molina-Cabello, Miguel Ángel; López-Rubio, Ezequiel (Springer, 2024)
As traffic cameras become prevalent, and a considerable amount of traffic videos are stored for various purposes, new possibilities and challenges open in the automatic analysis of traffic scenes. Advances in deep ...