OpenCv haar+SVM训练的xml检测人头位置

注意：opencv-2.4.10

#include "stdio.h"
#include "string.h"
#include "iostream"

#include "opencv/cv.h"
#include "opencv/cxcore.h"
#include "opencv/highgui.h"
#include "opencv/ml.h"
#include "opencv2/core/core.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/video/video.hpp"
#include "opencv2/videostab/videostab.hpp"

#include "opencv2/contrib/contrib.hpp"
#include "opencv2/objdetect/objdetect.hpp"


#pragma comment(lib,"opencv_calib3d2410d.lib")
#pragma comment(lib,"opencv_contrib2410d.lib")
#pragma comment(lib,"opencv_core2410d.lib")
#pragma comment(lib,"opencv_features2d2410d.lib")
#pragma comment(lib,"opencv_highgui2410d.lib")
#pragma comment(lib,"opencv_imgproc2410d.lib")
#pragma comment(lib,"opencv_objdetect2410d.lib")
#pragma comment(lib,"opencv_video2410d.lib")
#pragma comment(lib,"opencv_videostab2410d.lib")

int main()
{

    IplImage *pFrame = NULL;
    IplImage *pGrayImg = NULL;

    //加载Haar特征检测分类器
    const char *pCascadeFileName = "cascades.xml";
    //CvHaarClassifierCascade *pHaarCascade  = (CvHaarClassifierCascade*)cvLoad(pCascadeFileName);
    CvHaarClassifierCascade *pHaarCascade = cvLoadHaarClassifierCascade(pCascadeFileName, cvSize(200, 200));

    //CvCapture *pCapture = cvCreateCameraCapture(0); //获取摄像头
    cv::VideoCapture video(0);
    int nFrmNum = 0;

    if (!video.isOpened())
    {
        std::cout << "加载失败..." << std::endl;
        return -1;
    }
    //create window
    cvNamedWindow("Video", 1);
    CvMemStorage *pcvMStorage;
    CvSeq *pCvSeq;
    cv::Mat img,grayimg,dstimg;
    double scalar = 2.2;
    video >> img;
    std::vector<cv::Rect>rect,vector1,vector2,vector3;
    int nFrame = 0;
    while (1)    //逐帧读取
    {
        video >> img;
        cv::cvtColor(img, grayimg, CV_BGR2GRAY);
        cv::imshow("grayimg1", grayimg);
        cv::add(grayimg, grayimg, grayimg);
        //cv::add(grayimg, grayimg, grayimg);
        //cv::imshow("grayimg2", grayimg);
        pFrame = &(IplImage(grayimg));

        //---------------人脸识别-------------------------
        rect.clear();
        if (pHaarCascade != NULL)
        {
            
            pcvMStorage = cvCreateMemStorage(0);
            cvClearMemStorage(pcvMStorage);

            // 识别
            pCvSeq = cvHaarDetectObjects(pFrame, pHaarCascade, pcvMStorage, 1.1, 2, 0, cvSize(120, 120), cvSize(420, 420));

            // 标记
            for (int i = 0; i <pCvSeq->total; i++)
            {
                CvRect* r = (CvRect*)cvGetSeqElem(pCvSeq, i);
                rect.push_back(cv::Rect(r->x,r->y,r->width,r->height));
            }

            cvReleaseMemStorage(&pcvMStorage);
        }
        
        for (size_t i = 0; i < rect.size(); i++)
        {
            cv::rectangle(img,rect[i],cv::Scalar(0,255,0),2);
        }
        cv::imshow("video", img);
        cv::resize(img, dstimg, cv::Size(img.cols*scalar, img.rows*scalar), 1, 1, 3);
    
        cv::imshow("dstimg", dstimg);
        //---------------人脸识别-------------------------
        char c = cvWaitKey(33);    //按esc退出
        if (c == 27)
        {
            break;
        }
        nFrame++;
    }
    cv::destroyAllWindows();
    return 0;
}