摘要
在上位机进行实时目标跟踪,使用传统的CPU进行计算往往由于数据处理量大而消耗很多计算时间,影响实时性和跟踪效果。近年来,nVidia公司提出的CUDA架构利用GPU进行并行计算,极大提高了运算速度。本文在介绍CUDA架构的特性及软硬件实现原理的基础上,利用CUDA来实现上位机的实时目标跟踪,并与传统方法的计算速度进行了比较。结果表明,CUDA的应用使上位机目标跟踪的实时性得到了很大提升,可以将其应用于其它众多领域。
Real-time target tracking on upper computer using CPU will spend much time because of a great amount of calculation,which will affect the tracking.In recent years,nVidia Corporation has put forward a compute architecture called Compute Unified Device Architecture（CUDA） which calculates in parallel using Graphics Processing Units（GPU）.This study introduced the architecture and principle of CUDA,then tracked target in real time using this method,and compared the calculating speed of CUDA with that of traditional method.The result showed that CUDA could speed up calculation and be well used in real-time target tracking on upper computer.
出处
《信息与电子工程》
2010年第3期368-371,共4页
information and electronic engineering
关键词
并行计算
图像处理单元
统一计算设备架构
目标跟踪
parallel calculation
Graphics Processing Units
Compute Unified Device Architecture
target tracking
