Gunnar Farnebak的算法计算稠密光流
Gunnar Farnebak的算法计算稠密光流
Computes a dense optical flow using the Gunnar Farneback’s algorithm.
用Gunnar Farnebak的算法计算稠密光流
- C++: void calcOpticalFlowFarneback (InputArray prev, InputArray next, InputOutputArray flow, double pyr_scale, int levels, int winsize, int iterations, int poly_n, double poly_sigma, int flags )
#include "opencv2/video/tracking.hpp" #include "opencv2/imgproc/imgproc.hpp" #include "opencv2/highgui/highgui.hpp" #includeusing namespace cv; using namespace std;
static void help() { cout <<"\nThis program demonstrates dense optical flow algorithm by Gunnar Farneback\n" "Mainly the function: calcOpticalFlowFarneback()\n""Call:\n"
"./fback\n""This reads from video camera 0\n" <
static void drawOptFlowMap(const Mat& flow, Mat& cflowmap, int step,double, const Scalar& color) { for(int y = 0; y < cflowmap.rows; y += step) for(int x = 0; x < cflowmap.cols; x += step) { const Point2f& fxy = flow.at(y, x); line(cflowmap, Point(x,y), Point(cvRound(x+fxy.x), cvRound(y+fxy.y)),color); circle(cflowmap, Point(x,y), 2, color, -1); } }int main(int, char**) { //VideoCapture cap(0); VideoCapture cap("E:\\图片\\视频材料\\Megamind.avi"); help(); if( !cap.isOpened() ) return -1; Mat prevgray, gray, flow, cflow, frame; namedWindow("flow", 1); for(; ; ) { cap >> frame; cvtColor(frame, gray, COLOR_BGR2GRAY); if( prevgray.data ) { calcOpticalFlowFarneback(prevgray, gray, flow, 0.5, 3, 15, 3, 5, 1.2, 0); cvtColor(prevgray, cflow, COLOR_GRAY2BGR); drawOptFlowMap(flow, cflow, 16, 1.5, Scalar(0, 255, 0)); imshow("flow", cflow); } if(waitKey(30)>=0) break; std::swap(prevgray, gray); } return 0; }
运行结果
【Gunnar Farnebak的算法计算稠密光流】
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