opencv中检测视频内容是否变化，并且能够进行人脸检测。

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本程序主要通过videocapture打开摄像头，并且对所录视频的内容进行检测，如果视频内容发生改变则保存所录视频，并且对变化的内容进行检查是否包含人脸，包含人脸则将人脸标记出来，主要用到了opencv提供的haarcascade_frontalface_alt.xml分类器。话不多说，直接上代码。

#include <opencv\cvaux.hpp>#include <opencv\cv.h>#include<opencv\cxcore.hpp>#include <opencv2\opencv.hpp>#include <opencv2\core\core.hpp>#include <opencv2\highgui\highgui.hpp>#include <iostream>#include <string>#include <vector>using namespace cv;using namespace std;double diffent_pixel_sum = 0;string face_cascade_name = "E:\\opencv\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml";//引入

分类器，要根据自己的实际情况修改路径。CascadeClassifier face_cascade;

void detectAndDisplay(Mat face){vector<Rect> faces;Mat face_gray;cvtColor(face, face_gray, CV_BGR2GRAY);  //rgb类型转换为灰度类型  equalizeHist(face_gray, face_gray);   //直方图均衡化  face_cascade.detectMultiScale(face_gray, faces, 1.1, 2, 0 | CV_HAAR_SCALE_IMAGE, Size(150, 150));for (int i = 0; i < faces.size(); i++){Point center(faces[i].x + faces[i].width*0.5, faces[i].y + faces[i].height*0.5);ellipse(face, center, Size(faces[i].width*0.5, faces[i].height*0.5), 0, 0, 360, Scalar(0, 0, 255), 2, 7, 0);}}int main(){if (!face_cascade.load(face_cascade_name)){printf("级联分类器错误，可能未找到文件，拷贝该文件到工程目录下！\n");return -1;}Mat frame, frame2, frame3, gray, gray2, gray3, gray_diff, gray_diff2;VideoCapture capture(0);double dWidth = capture.get(CV_CAP_PROP_FRAME_WIDTH); //get the width of frames of the video  double dHeight = capture.get(CV_CAP_PROP_FRAME_HEIGHT);Size frameSize(static_cast<int>(dWidth), static_cast<int>(dHeight));VideoWriter writer("C:\\Users\\Administrator\\Desktop\\VideoTest2.avi", CV_FOURCC('D', 'I', 'V', 'X'), 15.0, frameSize, true);if (!capture.isOpened())return -1;int time = 0;while (true){time++;capture >> frame;//imshow("video", frame);cvtColor(frame, gray, CV_BGR2BGRA);waitKey(1);capture >> frame2;cvtColor(frame2, gray2, CV_BGR2BGRA);/*waitKey(1);capture >> frame3;cvtColor(frame3, gray3, CV_BGR2BGRA);*/subtract(gray, gray2, gray_diff);//subtract(gray3, gray2, gray_diff2);//第三帧减第二帧for (int i = 0; i < gray_diff.rows; i++){for (int j = 0; j < gray_diff.cols; j++){if (abs(gray_diff.at<unsigned char>(i, j)) >= 20){//这里模板参数一定要用unsigned char，否则就一直报错//gray_diff.at<unsigned char>(i, j) = 255;            //第一次相减阈值处理diffent_pixel_sum += abs(gray_diff.at<unsigned char>(i, j));}//else gray_diff.at<unsigned char>(i, j) = 0;//if (abs(gray_diff2.at<unsigned char>(i, j)) >= 20){//第二次相减阈值处理//gray_diff2.at<unsigned char>(i, j) = 255;//diffent_pixel_sum += abs(gray_diff.at<unsigned char>(i, j));//}//else gray_diff2.at<unsigned char>(i, j) = 0;}bitwise_and(gray_diff, gray_diff2, gray); imshow("foreground", gray);}if (diffent_pixel_sum > 20000){//根据侦差判断视频内容变化情况。if (time = 50){//每50帧检测一下，提高效率。detectAndDisplay(frame);time = 0;imshow("video", frame);writer << frame;waitKey(30);diffent_pixel_sum = 0;}}if (waitKey(30) == 27){break;}}writer.release();}

效果：

<img src="http://img.blog.csdn.net/20160418213848028?watermark/2/text/aHR0cDovL2Jsb2cuY3Nkbi5uZXQv/font/5a6L5L2T/fontsize/400/fill/I0JBQkFCMA==/dissolve/70/gravity/Center" width="150" height="200" alt="" />

haarcascade_frontalface_alt分类器下载地址

点击打开链接

该程序存在一些不足，保存的视频，在播放速度方面存在问题，查了很多资料也没有解决，希望有大神可以指导改正。

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