Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Nicolás Guil Mata"'
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:
Sergio R. Geninatti, José Ignacio Benavides Benítez, Manuel Hernández Calviño, Nicolás Guil Mata
Publikováno v:
International Journal of Reconfigurable Computing, Vol 2010 (2010)
This paper presents the design and implementation on FPGA devices of an algorithm for computing similarities between neighboring frames in a video sequence using luminance information. By taking advantage of the well-known flexibility of Reconfigurab
Externí odkaz:
https://doaj.org/article/ee9516d1307f48dc91dbe0fb249341a3
Autor:
José Ignacio Benavides Benítez, José María González-Linares, Nicolás Guil Mata, Juan Gómez-Luna
Publikováno v:
IEEE Transactions on Parallel and Distributed Systems. 24:2273-2282
GPU application implementations using scatter approaches will fall into write contention due to atomic updates of output elements, if these result from more than one input element. Colliding threads will be serialized, seriously harming performance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::389a44aba9adb22db2430907a82140b0
https://doi.org/10.1109/tpds.2012.319
https://doi.org/10.1109/tpds.2012.319
Publikováno v:
Advances in Computational Intelligence ISBN: 9783642215001
IWANN (1)
IWANN (1)
In this paper, we present an approach for kernel-based object tracking using the HSV color space as the feature space and fuzzy color histograms as feature vectors. These histograms are more robust to illumination changes and quantization errors than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d56de3b5556232461456f1735b56b4e4
https://doi.org/10.1007/978-3-642-21501-8_64
https://doi.org/10.1007/978-3-642-21501-8_64
Autor:
Sergio Geninatti, José Ignacio Benavides Benítez, Manuel Calviño, Nicolás Guil Mata, Juan Gómez Luna
Publikováno v:
ReConFig
Many applications of image analysis need a similarity measure that highlights the presence of shapes or objects. The Generalized Hough Transform (GHT) is a popular image processing technique that is able to locate an object in an image. In its origin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8d9465a381c6074e57effd6be609d64f
https://doi.org/10.1109/reconfig.2009.78
https://doi.org/10.1109/reconfig.2009.78
Publikováno v:
2009 5th Southern Conference on Programmable Logic (SPL).
This paper presents the design and implementation on FPGA devices of an algorithm for computing the similarity between neighbor photograms in a video sequence using luminance information.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bacdf972a611d5f71ea126e3413eafd7
https://doi.org/10.1109/spl.2009.4914889
https://doi.org/10.1109/spl.2009.4914889
Publikováno v:
Advances in Artificial Intelligence — IBERAMIA 2002 ISBN: 9783540001317
IBERAMIA
IBERAMIA
A local deformable-model-based segmentation can be very helpful to extract objects from an image, especially when no prototype about the object is available. However, this technique can drive to an erroneous segmentation in noisy images, in case of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4479aa40d98a80a555c5e1bef2eaee8b
https://doi.org/10.1007/3-540-36131-6_88
https://doi.org/10.1007/3-540-36131-6_88
Publikováno v:
Discrete Geometry for Computer Imagery ISBN: 9783540413967
DGCI
DGCI
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::534afe3e9c30443426b52ec88cd50018
https://doi.org/10.1007/3-540-44438-6_39
https://doi.org/10.1007/3-540-44438-6_39
Publikováno v:
ACM Transactions on Multimedia Computing, Communications & Applications; 2023 Suppl 3, Vol. 19, p1-15, 15p
Publikováno v:
2015 IEEE 6th Latin American Symposium on Circuits & Systems (LASCAS); 2015, p1-4, 4p