Research of CUDA in Intelligent Visual Surveillance Algorithms
When used in practical applications,the speed of intelligent visual surveillance algorithms may decline dramatically due to massive data.Thus the computing speed of algorithms can be a crucial factor in the practical applications.In addition to excellent parallel computing capability,a modern GPU also has large bandwidth and powerful floating-point computing capability.These features make GPU an appropriate device for doing general-purpose computing.This paper accelerates Gaussian Mixture Model and HLSIFT (Harris-like Scale Invariant Feature Detector) using CUDA.The former algorithm gets more than 45 times accelerating and the latter one gets more than 35 times accelerating.The acceleration result is impressive.
CUDA intelligent visual surveillance algorithms accelerating Gaussian mixture model HLSIFT
Chao Rao Shuoqi Liu
Institute of Automation,Chinese Academy of Sciences,Beijing,100190 Troops 91469 of PLA
国际会议
北京
英文
73-76
2011-12-01（万方平台首次上网日期，不代表论文的发表时间）