OpenCV 使用光流法检测物体运动

OpenCV 可以使用光流法检测物体运动，贴上代码以及效果。

// opticalflow.cpp : 定义控制台应用程序的入口点。
//#include "stdafx.h"// Example 10-1. Pyramid Lucas-Kanade optical flow code
//
/* *************** License:**************************Oct. 3, 2008Right to use this code in any way you want without warrenty, support or any guarentee of it working.BOOK: It would be nice if you cited it:Learning OpenCV: Computer Vision with the OpenCV Libraryby Gary Bradski and Adrian KaehlerPublished by O'Reilly Media, October 3, 2008AVAILABLE AT: http://www.amazon.com/Learning-OpenCV-Computer-Vision-Library/dp/0596516134Or: http://oreilly.com/catalog/9780596516130/ISBN-10: 0596516134 or: ISBN-13: 978-0596516130    OTHER OPENCV SITES:* The source code is on sourceforge at:http://sourceforge.net/projects/opencvlibrary/* The OpenCV wiki page (As of Oct 1, 2008 this is down for changing over servers, but should come back):http://opencvlibrary.sourceforge.net/* An active user group is at:http://tech.groups.yahoo.com/group/OpenCV/* The minutes of weekly OpenCV development meetings are at:http://pr.willowgarage.com/wiki/OpenCV************************************************** */#include <cv.h>
#include <cxcore.h>
#include <highgui.h>
#include <stdio.h>const int MAX_CORNERS = 500;
int main(int argc, char** argv) {// Initialize, load two images from the file system, and// allocate the images and other structures we will need for// results.//IplImage* imgA = cvLoadImage("OpticalFlow0.jpg",CV_LOAD_IMAGE_GRAYSCALE);IplImage* imgB = cvLoadImage("OpticalFlow1.jpg",CV_LOAD_IMAGE_GRAYSCALE);CvSize      img_sz    = cvGetSize( imgA );int         win_size = 10;IplImage* imgC = cvLoadImage("OpticalFlow1.jpg",CV_LOAD_IMAGE_UNCHANGED);// The first thing we need to do is get the features// we want to track.//IplImage* eig_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 1 );IplImage* tmp_image = cvCreateImage( img_sz, IPL_DEPTH_32F, 1 );int              corner_count = MAX_CORNERS;CvPoint2D32f* cornersA        = new CvPoint2D32f[ MAX_CORNERS ];cvGoodFeaturesToTrack(imgA,eig_image,tmp_image,cornersA,&corner_count,0.01,5.0,0,3,0,0.04);cvFindCornerSubPix(imgA,cornersA,corner_count,cvSize(win_size,win_size),cvSize(-1,-1),cvTermCriteria(CV_TERMCRIT_ITER|CV_TERMCRIT_EPS,20,0.03));// Call the Lucas Kanade algorithm//char features_found[ MAX_CORNERS ];float feature_errors[ MAX_CORNERS ];CvSize pyr_sz = cvSize( imgA->width+8, imgB->height/3 );IplImage* pyrA = cvCreateImage( pyr_sz, IPL_DEPTH_32F, 1 );IplImage* pyrB = cvCreateImage( pyr_sz, IPL_DEPTH_32F, 1 );CvPoint2D32f* cornersB        = new CvPoint2D32f[ MAX_CORNERS ];cvCalcOpticalFlowPyrLK(imgA,imgB,pyrA,pyrB,cornersA,cornersB,corner_count,cvSize( win_size,win_size ),5,features_found,feature_errors,cvTermCriteria( CV_TERMCRIT_ITER | CV_TERMCRIT_EPS, 20, .3 ),0);// Now make some image of what we are looking at://for( int i=0; i<corner_count; i++ ) {if( features_found[i]==0|| feature_errors[i]>550 ) {//       printf("Error is %f/n",feature_errors[i]);continue;}//    printf("Got it/n");CvPoint p0 = cvPoint(cvRound( cornersA[i].x ),cvRound( cornersA[i].y ));CvPoint p1 = cvPoint(cvRound( cornersB[i].x ),cvRound( cornersB[i].y ));cvLine( imgC, p0, p1, CV_RGB(255,0,0),2 );}cvNamedWindow("ImageA",0);cvNamedWindow("ImageB",0);cvNamedWindow("LKpyr_OpticalFlow",0);cvShowImage("ImageA",imgA);cvShowImage("ImageB",imgB);cvShowImage("LKpyr_OpticalFlow",imgC);cvWaitKey(0);return 0;
}

两张测试图片：

OpticalFlow0.jpg

OpticalFlow1.jpg

运行结果：

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