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基于众核处理器和GPU的视频快速检测方案 被引量：1

Fast Video Detection Scheme Based on Multi-core Processor and GPU
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摘要 目前基于普通架构的视频检测速度较慢,难以满足网络视频实时监测的要求,为此提出一个基于众核处理器和图形处理单元(GPU)的视频检测方案。该方案基于众核处理器实现视频解码,基于GPU实现SURF(Speed Up Robust Features)和SVM(Support Vector Machine)的图像检测算法。与基于普通PC架构的视频检测方案相比,该方案的视频检测性能提升了10倍以上。 At present,the speed of video detection based on general structure is very slow,and it is difficult to meet the requirement of real-time network video monitoring.This paper showed a new video detection method based on multicore processor and graphic processing unit（GPU）.This method uses multi-core processor to realize video decoding,and uses the GPU to realize the SURF（Speed Up Robust Features）and SVM（Support Vector Machines）algorithm to detect the image.Compared with video detection scheme based on general PC architecture,the performance of the method based on multi-core processor and GPU can be improved over 10 times.
作者 杨娟 曾苗祥 徐晶 许炜
机构地区 华中科技大学电子与信息工程系湖北省智能互联网技术重点实验室
出处 《计算机科学》 CSCD 北大核心 2015年第3期266-270,295,共6页 Computer Science
基金 "十二五"国家科技支撑计划课题(2011BAK08B00)资助
关键词 视频检测 众核处理器 GPU SURF SVM Video detect Multi-core processor GPU SURF SVM
分类号 TP391.4 [自动化与计算机技术—计算机应用技术]
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计算机科学
2015年 第3期

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