OpenCV：检测瓷砖中的运动
我想检测由 N*N 定义的网格平铺中的运动，我尝试了 完成的方法https://stackoverflow.com/users/724461/andrey-kamaev 它显示在下面的代码中，但结果根本不准确，我想做一个更准确的方法。
cv::Sobel(input, sobel, CV_32F, 1, 1);
int h = input.rows / NUM_BLOCK_ROWS;
int w = input.rows / NUM_BLOCK_COLUMNS;
float pos=0;
for (int r = 0; r<NUM_BLOCK_ROWS; r++)
for(int c=0; c<NUM_BLOCK_COLUMNS; c++)
{
cv::Scalar weight = cv::sum(sobel(cv::Range(h*r, (r+1)*h), cv::Range(c*w, (c+1)*w)));
if (weight[0] + weight[1] > 60) {
input(cv::Range(h*r, (r+1)*h-1), cv::Range(c*w, (c+1)*w-1)).setTo(cv::Scalar(0,0,255));
}
}
I would like to detect a movement in a tile of grids defined by N*N, I've tried a way which is done by https://stackoverflow.com/users/724461/andrey-kamaev
and it shown in the following code, but the result isn't accurate at all, I would like to do a more accurate approach.
cv::Sobel(input, sobel, CV_32F, 1, 1);
int h = input.rows / NUM_BLOCK_ROWS;
int w = input.rows / NUM_BLOCK_COLUMNS;
float pos=0;
for (int r = 0; r<NUM_BLOCK_ROWS; r++)
for(int c=0; c<NUM_BLOCK_COLUMNS; c++)
{
cv::Scalar weight = cv::sum(sobel(cv::Range(h*r, (r+1)*h), cv::Range(c*w, (c+1)*w)));
if (weight[0] + weight[1] > 60) {
input(cv::Range(h*r, (r+1)*h-1), cv::Range(c*w, (c+1)*w-1)).setTo(cv::Scalar(0,0,255));
}
}
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我使用了帧差分方法并且它有效。
I used Frame Differencing approach and it worked.
光流怎么样？ OpenCV 的实现在这里
What about optical flow? OpenCV's implementation is here