第一部分:C++与OpenCV
第二部分:Python3与OpenCV
C++实现:
/**************************************************
* 背景建模,运动物体检测
*
**************************************************/
/***********************************************************************
* OpenCV example
***********************************************************************/
#include
#include
#include
#include
#include
using namespace std;
using namespace cv;
int main( int argc, char** argv )
{
//声明IplImage指针
IplImage* pFrame = NULL;
IplImage* pFrImg = NULL;
IplImage* pBkImg = NULL;
CvMat* pFrameMat = NULL;
CvMat* pFrMat = NULL;
CvMat* pBkMat = NULL;
CvCapture* pCapture = NULL;
int nFrmNum = 0;
//创建窗口
cvNamedWindow("video", 1);
cvNamedWindow("background",1);
cvNamedWindow("foreground",1);
//使窗口有序排列
cvMoveWindow("video", 30, 0);
cvMoveWindow("background", 360, 0);
cvMoveWindow("foreground", 690, 0);
if( argc > 2 )
{
fprintf(stderr, "Usage: bkgrd [video_file_name]\n");
return -1;
}
//打开摄像头
if (argc ==1)
if( !(pCapture = cvCaptureFromCAM(-1)))
{
fprintf(stderr, "Can not open camera.\n");
return -2;
}
//打开视频文件
if(argc == 2)
if( !(pCapture = cvCaptureFromFile(argv[1])))
{
fprintf(stderr, "Can not open video file %s\n", argv[1]);
return -2;
}
//逐帧读取视频
while(pFrame = cvQueryFrame( pCapture ))
{
nFrmNum++;
//如果是第一帧,需要申请内存,并初始化
if(nFrmNum == 1)
{
pBkImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
pFrImg = cvCreateImage(cvSize(pFrame->width, pFrame->height), IPL_DEPTH_8U,1);
pBkMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
pFrMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
pFrameMat = cvCreateMat(pFrame->height, pFrame->width, CV_32FC1);
//转化成单通道图像再处理
cvCvtColor(pFrame, pBkImg, CV_BGR2GRAY);
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY);
cvConvert(pFrImg, pFrameMat);
cvConvert(pFrImg, pFrMat);
cvConvert(pFrImg, pBkMat);
}
else
{
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY);
cvConvert(pFrImg, pFrameMat);
//高斯滤波先,以平滑图像
//cvSmooth(pFrameMat, pFrameMat, CV_GAUSSIAN, 3, 0, 0);
//当前帧跟背景图相减
cvAbsDiff(pFrameMat, pBkMat, pFrMat);
//二值化前景图
cvThreshold(pFrMat, pFrImg, 60, 255.0, CV_THRESH_BINARY);
//进行形态学滤波,去掉噪音
//cvErode(pFrImg, pFrImg, 0, 1);
//cvDilate(pFrImg, pFrImg, 0, 1);
//更新背景
cvRunningAvg(pFrameMat, pBkMat, 0.003, 0);
//将背景转化为图像格式,用以显示
cvConvert(pBkMat, pBkImg);
//显示图像
cvShowImage("video", pFrame);
cvShowImage("background", pBkImg);
cvShowImage("foreground", pFrImg);
//如果有按键事件,则跳出循环
//此等待也为cvShowImage函数提供时间完成显示
//等待时间可以根据CPU速度调整
if( cvWaitKey(2) >= 0 )
break;
}
}
//销毁窗口
cvDestroyWindow("video");
cvDestroyWindow("background");
cvDestroyWindow("foreground");
//释放图像和矩阵
cvReleaseImage(&pFrImg);
cvReleaseImage(&pBkImg);
cvReleaseMat(&pFrameMat);
cvReleaseMat(&pFrMat);
cvReleaseMat(&pBkMat);
cvReleaseCapture(&pCapture);
return 0;
}
Python3实现:
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Software: PyCharm
#
######################
#
# 背景建模,运动物体检测
#
######################
import sys
# import the necessary things for OpenCV
import cv2 as cv
if __name__ == '__main__':
pBkImg = None
pFrImg = None
pBkMat = None
pFrMat = None
pFrameMat = None
nFrmNum = 0
#创建窗口
cvNamedWindow("video", 1)
cvNamedWindow("background",1)
cvNamedWindow("foreground",1)
#使窗口有序排列
cvMoveWindow("video", 30, 0)
cvMoveWindow("background", 360, 0)
cvMoveWindow("foreground", 690, 0)
#打开摄像头
pCapture = cvCreateCameraCapture(0)
if not pCapture:
print("Can not open camera.")
sys.exit(1)
#打开视频文件
# pCapture = cvCaptureFromFile(sys.argv[1]) if not pCapture:
# print("Can not open video file.") sys.exit(1)
#逐帧读取视频
while 1:
pFrame = cvQueryFrame( pCapture )
if not pFrame:
print("Can not open frame.")
sys.exit(1)
nFrmNum = nFrmNum+1
print(nFrmNum)
#如果是第一帧,需要申请内存,并初始化
if nFrmNum == 1:
pBkImg = cvCreateImage(cvSize(pFrame.width,pFrame.height), IPL_DEPTH_8U,1)
pFrImg =cvCreateImage(cvSize(pFrame.width, pFrame.height), IPL_DEPTH_8U,1)
pBkMat = cvCreateMat(pFrame.height, pFrame.width, CV_32FC1)
pFrMat = cvCreateMat(pFrame.height, pFrame.width, CV_32FC1)
pFrameMat = cvCreateMat(pFrame.height, pFrame.width, CV_32FC1)
#转化成单通道图像再处理
cvCvtColor(pFrame, pBkImg, CV_BGR2GRAY)
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY)
cvConvert(pFrImg, pFrameMat)
cvConvert(pFrImg, pFrMat)
cvConvert(pFrImg, pBkMat)
else:
cvCvtColor(pFrame, pFrImg, CV_BGR2GRAY)
cvConvert(pFrImg, pFrameMat)
#高斯滤波先,以平滑图像
cvSmooth(pFrameMat, pFrameMat, CV_GAUSSIAN, 3, 0, 0)
#当前帧跟背景图相减
cvAbsDiff(pFrameMat, pBkMat, pFrMat)
#二值化前景图
cvThreshold(pFrMat, pFrImg, 60, 255.0, CV_THRESH_BINARY)
#进行形态学滤波,去掉噪音
cvErode(pFrImg, pFrImg, None, 1)
cvDilate(pFrImg, pFrImg, None, 1)
#更新背景
cvRunningAvg(pFrameMat, pBkMat, 0.003, None)
#将背景转化为图像格式,用以显示
cvConvert(pBkMat, pBkImg)
#显示图像
cvFlip(pFrame, None, 0)
cvFlip(pBkImg, None, 0)
cvFlip(pFrImg, None, 0)
cvShowImage("video", pFrame)
cvShowImage("background", pBkImg)
cvShowImage("foreground", pFrImg)
#如果有按键事件,则跳出循环 此等待也为cvShowImage函数提供时间完成显示 等待时间可以根据CPU速度调整
if cvWaitKey(2) >= 0 :
break
#销毁窗口
cvDestroyWindow("video")
cvDestroyWindow("background")
cvDestroyWindow("foreground")
#释放图像和矩阵
cvReleaseImage(pFrImg)
cvReleaseImage(pBkImg)
cvReleaseMat(pFrameMat)
cvReleaseMat(pFrMat)
cvReleaseMat(pBkMat)
cvReleaseCapture(pCapture)
sys.exit(0)