Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Cristina Losada‐Gutiérrez"'
Publikováno v:
Electronics Letters, Vol 59, Iss 16, Pp n/a-n/a (2023)
Abstract The proper sizing of the electronic target to implement complex controllers is barely tackled at engineering schools. An incorrect selection leads, at best, to inefficient use of resources and unnecessarily high costs. In this work, the crit
Externí odkaz:
https://doaj.org/article/39c4e24770ff4a6b9a12b2077a21ca74
Autor:
Mohammad Ibrahim Sarker, Cristina Losada-Gutiérrez, Marta Marrón-Romera, David Fuentes-Jiménez, Sara Luengo-Sánchez
Publikováno v:
Sensors, Vol 21, Iss 12, p 3993 (2021)
Surveillance cameras are being installed in many primary daily living places to maintain public safety. In this video-surveillance context, anomalies occur only for a very short time, and very occasionally. Hence, manual monitoring of such anomalies
Externí odkaz:
https://doaj.org/article/c4876f1a0bfd4c52b3c30fc83d83c33d
Autor:
Antonio Carlos Cob-Parro, Cristina Losada-Gutiérrez, Marta Marrón-Romera, Alfredo Gardel-Vicente, Ignacio Bravo-Muñoz
Publikováno v:
Sensors, Vol 21, Iss 9, p 2958 (2021)
New processing methods based on artificial intelligence (AI) and deep learning are replacing traditional computer vision algorithms. The more advanced systems can process huge amounts of data in large computing facilities. In contrast, this paper pre
Externí odkaz:
https://doaj.org/article/4e7e9188050d45e0abd024c5c94195f7
Autor:
Francesco Potortì, Sangjoon Park, Antonio Ramón Jiménez Ruiz, Paolo Barsocchi, Michele Girolami, Antonino Crivello, So Yeon Lee, Jae Hyun Lim, Joaquín Torres-Sospedra, Fernando Seco, Raul Montoliu, Germán Martin Mendoza-Silva, Maria Del Carmen Pérez Rubio, Cristina Losada-Gutiérrez, Felipe Espinosa, Javier Macias-Guarasa
Publikováno v:
Sensors, Vol 17, Iss 10, p 2327 (2017)
In recent years, indoor localization systems have been the object of significant research activity and of growing interest for their great expected social impact and their impressive business potential. Application areas include tracking and navigati
Externí odkaz:
https://doaj.org/article/21aac215094b4c8fa4ccf3b8562984b5
Publikováno v:
Multimedia Tools and Applications. 82:16213-16235
This work proposes and compare two different approaches for real-time human action recognition (HAR) from raw depth video sequences. Both proposals are based on the convolutional long short-term memory unit, namely ConvLSTM, with differences in the a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::71a7681ee521f91fdd5c6dd7b182b4ea
https://doi.org/10.1007/s11042-022-14075-5
https://doi.org/10.1007/s11042-022-14075-5
Publikováno v:
Telemática, Vol 18, Iss 3 (2019)
La re-identificación de personas, entendida como el reconocimiento de un individuo observado previamente por otro sensor, es un campo que ha adquirido gran importancia en los últimos años debido a sus aplicaciones relacionadas con la videovigilanc
Externí odkaz:
https://doaj.org/article/963c9cba073940b288389530d9a1c221
Autor:
Juan Carlos García, Marta Marrón-Romera, Alessandro Melino, Cristina Losada-Gutiérrez, José Manuel Rodríguez, Albert Fazakas
Publikováno v:
International Journal of Environmental Research and Public Health; Volume 20; Issue 2; Pages: 1243
Under the umbrella of assistive technologies research, a lot of different platforms have appeared since the 1980s, trying to improve the independence of people with severe mobility problems. Those works followed the same path coming from the field of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9fd75fe30b0d5be1abb94e88db5f160
Autor:
Adrián Sánchez-Caballero, Sergio de López-Diz, David Fuentes-Jimenez, Cristina Losada-Gutiérrez, Marta Marrón-Romera, David Casillas-Pérez, Mohammad Ibrahim Sarker
Human actions recognition is a fundamental task in artificial vision, that has earned a great importance in recent years due to its multiple applications in different areas. %, such as the study of human behavior, security or video surveillance. In t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::820d7705cc5e6761cd6e535c4efefad7
Autor:
Paula Obeso-Benítez, Marta Pérez-de-Heredia-Torres, Elisabet Huertas-Hoyas, Patricia Sánchez-Herrera-Baeza, Nuria Máximo-Bocanegra, Sergio Serrada-Tejeda, Marta Marron-Romera, Javier Macias-Guarasa, Cristina Losada-Gutierrez, Sira E. Palazuelos-Cagigas, Jose L. Martin-Sanchez, Rosa M. Martínez-Piédrola
Publikováno v:
Applied Sciences, Vol 14, Iss 8, p 3415 (2024)
The EYEFUL system represents a pioneering initiative designed to leverage multisensory systems for the automatic evaluation of functional ability and determination of dependency status in people performing activities of daily living. This interdiscip
Externí odkaz:
https://doaj.org/article/6c0c9752bc844b26bb8df9af6e0246c4
Autor:
Carlos A. Luna, Javier Macias-Guarasa, Cristina Losada-Gutierrez, Marta Marron-Romera, Manuel Mazo, Sara Luengo-Sanchez, Roberto Macho-Pedroso
Publikováno v:
Sensors, Vol 17, Iss 8, p 1845 (2017)
In this paper, we address the generation of semantic labels describing the headgear accessories carried out by people in a scene under surveillance, only using depth information obtained from a Time-of-Flight (ToF) camera placed in an overhead positi
Externí odkaz:
https://doaj.org/article/f1636a9d6da147e7b50e7429864aa3f1