Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Julián Ramos Cózar"'
Publikováno v:
Revista Cubana de Ciencias Informáticas, Vol 8, Iss 4, Pp 21-51 (2014)
La clasificación de acciones humanas en video es un área del conocimiento muy activa en la comunidad científica de la visión por computador. El objetivo de este campo de investigación es clasificar automáticamente acciones humanas a partir de l
Externí odkaz:
https://doaj.org/article/a78d3bf08d2f465b9724e857fbda9ab8
Autor:
Paula Ruiz-Barroso, Francisco M. Castro, Rubén Delgado-Escaño, Julián Ramos-Cózar, Nicolás Guil
Publikováno v:
Sustainable Computing: Informatics and Systems. 36:100814
Autor:
Julián Ramos Cózar, Manuel J. Marín-Jiménez, Rubén Delgado-Escaño, Nicolás Guil, Francisco M. Castro
Publikováno v:
IEEE Access, Vol 7, Pp 1897-1908 (2019)
People identification using gait information (i.e., the way a person walks) obtained from inertial sensors is a robust approach that can be used in multiple situations where vision-based systems are not applicable. Typically, previous methods use han
Autor:
Rubén Delgado-Escaño, Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez, Julián Ramos Cózar
Publikováno v:
Sensors
Volume 20
Issue 5
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5, p 1358 (2020)
Volume 20
Issue 5
Sensors (Basel, Switzerland)
Sensors, Vol 20, Iss 5, p 1358 (2020)
Gait recognition is being employed as an effective approach to identify people without requiring subject collaboration. Nowadays, developed techniques for this task are obtaining high performance on current datasets (usually more than 90 % of accurac
Publikováno v:
Expert Systems with Applications. 92:182-191
The Bag-of-Visual-Words model has emerged as an effective approach to represent local video features for human actions classification. However, one of the major challenges in this model is the generation of the visual vocabulary. In the case of human
Autor:
Rubén Delgado-Escaño, Nicolás Guil, Francisco M. Castro, Eduardo Casilari, Manuel J. Marín-Jiménez, Julián Ramos Cózar
Publikováno v:
Computer Methods and Programs in Biomedicine. 184:105265
Background and Objective: Fall detection is an important problem for vulnerable sectors of the population such as elderly people, who frequently live alone. Note that a fall can be very dangerous for them if they cannot ask for help. Hence, in those
Autor:
Nicolás Guil, Julián Ramos Cózar, Manuel J. Marín-Jiménez, Juan Gómez-Luna, José María González-Linares
Publikováno v:
Journal of Systems Architecture. 61:659-667
Heterogeneous architectures have emerged as mainstream computing platforms due to their suitability to deliver high performance and energy efficiency. To fully realize this potential it is necessary to obtain a good mapping of the computation kernels
Autor:
Nicolás Guil, Emilio L. Zapata, Ebroul Izquierdo, Julián Ramos Cózar, José María González-Linares
Publikováno v:
Signal Processing: Image Communication. 22:669-679
In conventional video production, logotypes are used to convey information about content originator or the actual video content. Logotypes contain information that is critical to infer genre, class and other important semantic features of video. This
Publikováno v:
Advances in Computational Intelligence ISBN: 9783319192574
IWANN (1)
IWANN (1)
In this paper a method for improving a tracking algorithm in an augmented reality application is presented. This method addresses several issues to this particular application, like marker-less tracking and color constancy with low quality cameras, o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::863fc1933233b28788a338c8942576ef
https://doi.org/10.1007/978-3-319-19258-1_26
https://doi.org/10.1007/978-3-319-19258-1_26
Publikováno v:
Pattern Recognition Letters. 23:719-729
In this work a new method to detect objects under scaled orthographic projections is shown. It also calculates the parameters of the transformations the object has suffered. The method is based on the use of the Generalized Hough Transform (GHT) that