opencv GPU自带行人识别

gpu 利用opencv自带的行人识别 ，效果还不错 ，没有那么卡

#include <iostream>
#include "opencv2/opencv.hpp"
#include "opencv2/gpu/gpu.hpp"
#include <opencv2/objdetect/objdetect.hpp>
#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <cv.h>
    using namespace cv;

int main (int argc, char* argv[])
{    // CvCapture *Frame=cvCaptureFromCAM(-1);
     VideoCapture cap("People1.avi");
     if(!cap.isOpened())  
    return -1;  
     cv::Mat Image_frame;
       VideoWriter writer("VideoTest.avi", CV_FOURCC('M', 'J', 'P', 'G'), 25.0, cvSize(640, 480)); 
    // Image_frame=cvQueryFrame(Frame);
while (1)
  {    cap>>Image_frame;
     // imshow("Cam",Image_frame);


     // cv::Mat Image = cv::imread("load.jpg" );
      cv::gpu::GpuMat Image_Src,Image_Dst;
      Image_Src.upload (Image_frame);

     cv::gpu::cvtColor(Image_Src,Image_Dst,CV_BGR2GRAY);

     vector<Rect> found;
     cv::gpu::HOGDescriptor GUP_Hog;
     GUP_Hog.setSVMDetector(cv::gpu::HOGDescriptor::getDefaultPeopleDetector());
     GUP_Hog.detectMultiScale(Image_Dst, found);       //转为灰度值
      for (size_t i = 0; i < found.size(); i++)  
    {  
        cv::rectangle(Image_frame , found[i], cv::Scalar(0,0,255), 2);  
    }  
    //  if( Image_frame.empty() )
    //    break;
      cv::imshow("Image",Image_frame);
     // writer<< Image_frame ;
      cv::waitKey(5); 

}
    return 0;
}