Real-time video image processing through GPUs and CUDA and its future implementation in real problems in a Smart City

被引：0

作者：

Alberto Hernandez-Aguilar, Jose ^{[1
]}

Carlos Bonilla-Robles, Juan ^{[1
]}

Zavala Diaz, Jose Crispin ^{[1
]}

Ochoa, Alberto ^{[2
]}

机构：

[1] Univ Autonoma Estado Morelos, Fac Contaduria Adm & Informat, Av Univ 1001, Cuernavaca 62209, Morelos, Mexico

[2] Univ Autonoma Ciudad Juarez, Comp Aplicado, Ciudad Juarez, Chihuahua, Mexico

来源：

INTERNATIONAL JOURNAL OF COMBINATORIAL OPTIMIZATION PROBLEMS AND INFORMATICS | 2019年 / 10卷 / 03期

关键词：

image processing; real-time; GPU; CUDA;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Graphic and coprocessor cards are a fundamental part of digital image processing, since they have supported the CPU in the execution of graphics applications such as 3D video games, computer animation, digital image processing, among other processes that require of a greater number of complex operations for its execution. In this research, we discuss a technological platform in which graphics processing units GPUs, webcams and video, CUDA and free software are used for the treatment of real-time images, for this purpose we describe test software for the application of 3 types of treatment: 3D effect, skin detection and edge detection (Sobel). The results indicate that the higher the complexity level of the effect applied to the image, the higher the percentage of use of the GPUs used: 3D effect (81% of use), edge detection (31% of use) and skin detection (22 %), these values improve significantly this process.

引用

页码：33 / 49

页数：17

共 27 条

[1] A real-time implementation of SIFT using GPU [J].

Acharya, K. Aniruddha ;

Babu, R. Venkatesh ;

Vadhiyar, Sathish S. .

JOURNAL OF REAL-TIME IMAGE PROCESSING, 2018, 14 (02) :267-277

[2]

Báez Rojas J.J., 2004, Rev. mex. fis., V50, P579

[3]

Esqueda J., 2002, FUNDAMENTOS PROCESAM

[4]

Fabiana P. M, 2011, 15 ESC INT INF 17 C

[5]

Farber R, 2011, CUDA APPLICATION DESIGN AND DEVELOPMENT, P1

[6] A Real-time GPU Implementation of the SIFT Algorithm for Large-Scale Video Analysis Tasks [J].

Fassold, Hannes ;

Rosner, Jakub .

REAL-TIME IMAGE AND VIDEO PROCESSING 2015, 2015, 9400

[7]

Franco J, 2009, EUROMICRO WORKSHOP P, P111, DOI [10.1109/PDP.2009.40, 10.1109/.39]

[8]

Galloy M., 2013, CPU vs GPU performance

[9]

Gavino S., 2006, 1 C TECN ED ED TECN

[10]

Gomez L. J., 2012, PROGRAMMING ISSUES V

← 1 2 3 →