摄像头中运动物体识别

#include <opencv2/opencv.hpp>
#include <cv.h>
#include <highgui.h>
#include <iostream>

using namespace std;
using namespace cv;
Mat MoveDetect(Mat temp, Mat frame);
int main()
{
	VideoCapture video(1);//定义VideoCapture类video 
	Mat frame;//存储帧 
	Mat temp;//存储前一帧图像 
	Mat result;//存储结果图像 
	video >> temp;//读帧进frame  
	while (1)
	{
		video >> frame;//读帧进frame  
		/*imshow("frame", frame);*/
		result = MoveDetect(temp, frame);//调用MoveDetect()进行运动物体检测，返回值存入result   
		imshow("result", result);
		waitKey(50);
		temp = frame.clone();
	}
	return 0;
}
Mat MoveDetect(Mat temp, Mat frame)
{
	Mat result = frame.clone(); //1.将background和frame转为灰度图 
	Mat gray1, gray2;
	cvtColor(temp, gray1, CV_BGR2GRAY);
	cvtColor(frame, gray2, CV_BGR2GRAY);
	//2.将background和frame做差 
	Mat diff;
	absdiff(gray1, gray2, diff);
	imshow("diff", diff);
	//3.对差值图diff_thresh进行阈值化处理 
	Mat diff_thresh;
	threshold(diff, diff_thresh, 50, 255, CV_THRESH_BINARY);
	imshow("diff_thresh", diff_thresh);
	//4.腐蚀
	Mat kernel_erode = getStructuringElement(MORPH_RECT, Size(3, 3));
	Mat kernel_dilate = getStructuringElement(MORPH_RECT, Size(18, 18));
	erode(diff_thresh, diff_thresh, kernel_erode);
	imshow("erode", diff_thresh);
	//5.膨胀
	dilate(diff_thresh, diff_thresh, kernel_dilate);
	imshow("dilate", diff_thresh);
	//6.查找轮廓并绘制轮廓 
	vector<vector<Point>> contours;
	findContours(diff_thresh, contours, CV_RETR_EXTERNAL, CV_CHAIN_APPROX_NONE);
	drawContours(result, contours, -1, Scalar(0, 0, 255), 2);//在result上绘制轮廓 
	//7.查找正外接矩形 
	vector<Rect> boundRect(contours.size());
	for (int i = 0; i < contours.size(); i++)
	{
		boundRect[i] = boundingRect(contours[i]);
		rectangle(result, boundRect[i], Scalar(0, 255, 0), 2);
		//在result上绘制正外接矩形 
	}
	return result;//返回result
}