3.按ESC确认矩形范围，销毁窗口并进行人眼检测

// FindEyeInVideo.cpp : 定义控制台应用程序的入口点。
//cxcore.lib cv.lib ml.lib cvaux.lib highgui.lib cvcam.lib

#include "stdafx.h"
#include "cv.h"
#include "highgui.h"
#include "time.h"

//鼠标拖动标志
bool check_line_state = false;
IplImage* tmpImg = NULL;
IplImage* grayFrame = NULL;
CvRect ROI_rect;
CvPoint p1,p2;

//人眼检测序列
CvMemStorage* storage = cvCreateMemStorage(0);
CvHaarClassifierCascade* cascade = (CvHaarClassifierCascade*)cvLoad("haarcascade_eye.xml", 0, 0, 0);


void on_mouse4(int event, int x,int y,int flags,void* param)
{
	int thickness = 2;
	
	if(event==CV_EVENT_LBUTTONDOWN)
	{
		//当前鼠标位置（x，y）
		ROI_rect.x = x;
		ROI_rect.y = y;
		check_line_state = true;
	}
	else if(check_line_state&&event==CV_EVENT_MOUSEMOVE)//鼠标状态
	{
		cvCopy(grayFrame,tmpImg);
		p1=cvPoint(ROI_rect.x,ROI_rect.y);
		p2=cvPoint(x, y);
		ROI_rect.width = abs(p1.x - p2.x);
		ROI_rect.height = abs(p1.y - p2.y);

		
		cvRectangle(tmpImg,p1,p2,CV_RGB(0,255,150),thickness,CV_AA,0);		
		cvShowImage("image",tmpImg);

	}
	else if(check_line_state&&event==CV_EVENT_LBUTTONUP)
	{
		check_line_state = false;
		
	
	}
}


void Decode(CONST char* filename)
{

	
	CvCapture * capture = cvCreateFileCapture (filename) ;
	IplImage* frame = cvQueryFrame (capture);
	char filePath[200]={0};
	int n = 0;
	int iConfirm = 0;
	CvSeq* eye;
	IplImage* img;
	clock_t start,finish;



	tmpImg = cvCreateImage(cvSize(frame->width, frame->height), frame->depth, 1);
	grayFrame = cvCreateImage(cvSize(frame->width, frame->height), frame->depth, 1);
	while (frame)
	{
		//转灰度
		//反转图片
		cvFlip(frame, NULL, 0);     
		cvCvtColor(frame,grayFrame,CV_BGR2GRAY);

		//设置好人脸区域之后按ESC让程序自动进行人眼检测
		if (0 == iConfirm)
		{
					
			cvShowImage("image",grayFrame);	
			if (cvWaitKey(0) == 27)
			{
				iConfirm = 1;
				cvDestroyWindow("image");
				
				start=clock();
			}
		}
		else
		{
			//设置人脸ROI
			cvSetImageROI(grayFrame, ROI_rect);
			img = cvCreateImage(cvSize(ROI_rect.width, ROI_rect.height),grayFrame->depth, grayFrame->nChannels);
			cvCopy(grayFrame,img);
			
			//sprintf(filePath,"FaceResult//%d.bmp",n);
			//cvSaveImage(filePath, img);
			
			//在抠图区域搜索人眼
			eye = cvHaarDetectObjects(img, cascade,  storage, 1.2, 3, 0, cvSize(25,25));
			if (2 != eye->total)
				goto NEXT;
			ROI_rect.x += ((CvRect*)cvGetSeqElem(eye, 0))->x - 20;
			ROI_rect.y += ((CvRect*)cvGetSeqElem(eye, 0))->y - 20;
			ROI_rect.width = ((CvRect*)cvGetSeqElem(eye, 0))->width + 40;
			ROI_rect.height = ((CvRect*)cvGetSeqElem(eye, 0))->height + 40;

			//cvResetImageROI(img);
			//cvSetImageROI(img, *((CvRect*)cvGetSeqElem( eye, 0))); 
			//sprintf(filePath,"EyeResult//%d.bmp",n);
			//cvSaveImage(filePath, img);  
			//cvResetImageROI(img);
			
			
NEXT:			
			cvResetImageROI(grayFrame);
			cvReleaseImage(&img);
			printf("%d\n",n++);
		}
		frame = cvQueryFrame (capture);

		
		
	
	}
	finish = clock();

	double totaltime=(double)(finish-start)/CLOCKS_PER_SEC/n;
	printf("\n此程序的运行时间为%lf\n",totaltime);
	getchar();
	cvReleaseCapture (&capture) ;
	cvReleaseImage(&tmpImg);
	cvReleaseImage(&grayFrame);
	

	
}


int main()
{


	ROI_rect.x=ROI_rect.y=0;
	cvNamedWindow("image",CV_WINDOW_AUTOSIZE);

	
	cvSetMouseCallback("image",on_mouse4);

	Decode("..\\..\\DecodeFrame\\移动白天.avi");
	
	
	
}

视频序列中扣图，在扣下的区域进行人眼检测