I am trying to track an object using correlation. I am finding a smaller patch in a larger image, frame by frame. For this, I am finding the shift in the patch, and where correlation is maximum, update the patch with a new patch.
My code is:
cv::Mat im_float_2,imagePart_out;
cv::Mat im_floatBig;
cv::Scalar im1_Mean, im1_Std, im2_Mean, im2_Std;
double covar, correl;
int n_pixels;
void computeShift()
{
int maxRow=0, maxCol=0, TX, TY;
double GMAX=0;
Mat image_window = Mat::zeros(imagePart.rows, imagePart.cols, CV_32F);
imagePart.convertTo(im_float_2, CV_32F);
imageBig.convertTo(im_floatBig,CV_32F);
for(maxRow=0; maxRow<=imageBig.rows-image_window.rows;maxRow++)
{
for(maxCol=0; maxCol<imageBig.cols-image_window.cols;maxCol++)
{
image_window = im_floatBig( cv::Rect( maxCol, maxRow,
image_window.cols, image_window.rows ) );
n_pixels = image_window.rows * image_window.cols;
// Compute mean and standard deviation of both images
meanStdDev(image_window, im1_Mean, im1_Std);
meanStdDev(im_float_2, im2_Mean, im2_Std);
// Compute covariance and correlation coefficient
covar = (image_window - im1_Mean).dot(im_float_2 - im2_Mean) / n_pixels;
correl = covar / (im1_Std[0] * im2_Std[0]);
if (correl > GMAX)
{
GMAX = correl; TX = maxRow; TY=maxCol;
image_window.convertTo(imagePart, CV_8UC1);
}
}
}
cvtColor(imagePart, imagePart_out, CV_GRAY2BGR);
printf("\nComputed shift: [%d, %d] MAX: %f\n", TX, TY,GMAX);
}
But when executing this I am getting very low FPS(1-2) even for small video size (Frame size-262x240
, Patch size- 25x25
).
Is there any way to achieve higher FPS. I am also looking in the direction of phase correlation, but not sure how to go about it from here. Can converting it to frequency domain will help?
For now, I want to optimize the above code for speed.