Listar por autor "Castro Payán, Francisco Manuel"
Mostrando ítems 1-10 de 10
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Detección de participantes del tráfico en entornos urbanos sobre imágenes RGB y nubes de puntos 3D.
Montenegro, Jorge; García-Guillén, Alejandro; Castro Payán, Francisco Manuel; Martínez-Rodríguez, Jorge Luis
; Morales-Rodríguez, Jesús (Comité Español de Automática, 2024)
This article proposes the development of a test environment for the detection of traffic participants in urban environments using neural networks based on the processing of data from vehicle sensors: an RGB camera and a ... -
End-to-end Incremental Learning
Castro Payán, Francisco Manuel; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás; Schmid, Cordelia; Alahari, Karteek (2018-07-06)
Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from (catastrophic forgetting), a dramatic decrease in overall performance when training with ... -
Energy-based tuning of convolution neural networks on multi-GPUs
Castro Payán, Francisco Manuel; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús; Pérez-Serrano, Jesús; Ujaldon-Martínez, Manuel (Wiley, 2019-11)
Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their challenging computational requirements. Within ... -
Gait recognition from multiple view-points
(UMA Editorial, 2018-11-15)Arquitectura de Computadores Resumen tesis: La identificación automática de personas está ganando mucha importancia en los últimos años ya que se puede aplicar en entornos que deben ser seguros (aeropuertos, centrales ... -
Multimodal features fusion for gait, gender and shoes recognition
Castro Payán, Francisco Manuel; Marín-Jiménez, Manuel J.; Guil-Mata, Nicolás (Springer, 2016)
This paper evaluates how fusing multimodal features (audio, RGB, and depth) can enhance the task of gait recognition, as well as gender and shoe recognition. While most previous research has focused on visual descriptors ... -
Multimodal Human Pose Feature Fusion for Gait Recognition.
Cubero, Nicolás; Castro Payán, Francisco Manuel; Ramos-Cózar, Julián; Guil-Mata, Nicolás; Marín Jiménez, Manuel Jesús (2023)
Gait recognition allows identifying people at a distance based on the way they walk (i.e. gait) in a non-invasive approach. Most of the approaches published in the last decades are dominated by the use of silhouettes or ... -
On how to improve tracklet-based gait recognition systems
Marín-Jiménez, Manuel J.; Castro Payán, Francisco Manuel; Carmona-Poyato, Ángel; Guil-Mata, Nicolás (Elsevier, 2015-12-15)
Abstract Recently, short-term dense trajectories features (DTF) have shown state-of-the-art results in video recognition and retrieval. However, their use has not been extensively studied on the problem of gait recognition. ... -
Real-Time Unsupervised Object Localization on the Edge for Airport Video Surveillance.
Object localization is vital in computer vision to solve object detection or classification problems. Typically, this task is performed on expensive GPU devices, but edge computing is gaining importance in real-time ... -
Real-time unsupervised video object detection on the edge
Ruiz Barroso, Paula; Castro Payán, Francisco Manuel; Guil-Mata, Nicolás (Elsevier, 2025-02-06)
Object detection in video is an essential computer vision task. Consequently, many efforts have been devoted to developing precise and fast deep-learning models for this task. These models are commonly deployed on discrete ... -
A weakly-supervised approach for discovering common objects in airport video surveillance footage
Castro Payán, Francisco Manuel; Delgado-Escaño, Rubén; Guil-Mata, Nicolás; Marín-Jiménez, Manuel J. (2019-07-22)
Object detection in video is a relevant task in computer vision. Standard and current detectors are typically trained in a strongly supervised way, what requires a huge amount of labelled data. In contrast, in this paper ...