用OpenCV 2.2 随机显示圆圈,并保存成test.avi文件
这程序可以用来作为 Kalman, Particle Filter 的追踪目标。
#include <stdlib.h>
#include <math.h>
#include "opencv2/opencv.hpp"
using namespace cv;
bool inRange (double x, double lowerBand, double upperBand)
{
return (x >= lowerBand) && (x <= upperBand);
}
int main()
{
int winWidth = 480;
int winHeight = 320;
char winName[] = "Particle Filter Sample";
int targetRadius = 5;
int targetRangeWidth = 10;
int targetRangeHeight = 10;
Mat image(winHeight, winWidth, CV_8UC3);
Point2i target(winWidth / 2, winHeight / 2);
// record video
VideoWriter record("test.avi", CV_FOURCC('D','I','V','X'), 30, Point(winWidth, winHeight), true);
srand(time(0));
for (;;) {
// Clears Previous target
circle(image, target,
targetRadius, Scalar(0, 0, 0), -1);
target.x += rand() % (2 * targetRangeWidth) - targetRangeWidth;
target.y += rand() % (2 * targetRangeHeight) - targetRangeHeight;
if (!inRange(target.x, 0, winWidth)) {
target.x = winWidth / 2;
}
if (!inRange(target.y, 0, winHeight)) {
target.y = winHeight / 2;
}
circle(image, target,
targetRadius, Scalar(255, 255, 255), -1);
imshow(winName, image);
record << image;
if(waitKey(30) == 27)
break;
}
return 0;
}
本文介绍了一个使用OpenCV 2.2实现的程序,该程序能够随机在图像上生成并显示圆圈,并将这些动态变化的过程录制为test.avi文件。生成的视频可用于测试Kalman滤波器和粒子滤波器等追踪算法。
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