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基于嵌入式平台的实时人脸检测系统
引用本文:张洪杰,刘卫光.基于嵌入式平台的实时人脸检测系统[J].中原工学院学报,2011,22(4).
作者姓名:张洪杰  刘卫光
作者单位:中原工学院,郑州,450007
基金项目:河南省科技攻关计划项目(092102210331)
摘    要:通过对实时人脸检测算法AdaBoost和库OpenCV的分析,设计并实现了在Intel PXA270核心板上的嵌入式实时人脸检测系统.该系统不依赖图形界面,使用V4L和FrameBuffer直接读取和显示视频图像,根据嵌入式平台特点优化程序执行效率,并解决了OpenCV1.0版本在嵌入式平台中部分函数不能正确执行的问题,在一定程度上达到了实时性和检测精度的同时提升,具有一定的实用价值.

关 键 词:实时人脸检测  PXA270  嵌入式  OpenCV  AdaBoost  V4L  FrameBuffer

Real-time Face Detection System Based on Embedded Platform
ZHANG Hong-jie,LIU Wei-guang.Real-time Face Detection System Based on Embedded Platform[J].Journal of Zhongyuan Institute of Technology,2011,22(4).
Authors:ZHANG Hong-jie  LIU Wei-guang
Affiliation:ZHANG Hong-jie,LIU Wei-guang(Zhongyuan University of Technology,Zhengzhou 450007,China)
Abstract:An embedded real-time face detection system has been designed and developed in the Intel PXA270 core board after the analysis of the face detection algorithm AdaBoost and the OpenCV library.This system does not depend on any other kinds of GUI,but uses the V4L API and FrameBuffer API to get and display video frames.According to the characteristics of the embedded platform,the program is optimized and a function's bug has been solved in the OpenCV version 1.0 when excuted in the embedded platform.To a certai...
Keywords:real-time face detect  PXA270  embedded system  OpenCV  Adaboost  V4L  FrameBuffer  
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