/**
* Starts tracking the rectangular region.
*
* @param image First image in the sequence.
* @param x0 Top-left corner of rectangle. x-axis
* @param y0 Top-left corner of rectangle. y-axis
* @param x1 Bottom-right corner of rectangle. x-axis
* @param y1 Bottom-right corner of rectangle. y-axis
*/
public void initialize(T image, int x0, int y0, int x1, int y1) {
if (imagePyramid == null
|| imagePyramid.getInputWidth() != image.width
|| imagePyramid.getInputHeight() != image.height) {
int minSize = (config.trackerFeatureRadius * 2 + 1) * 5;
int scales[] = selectPyramidScale(image.width, image.height, minSize);
imagePyramid =
FactoryPyramid.discreteGaussian(scales, -1, 1, true, (Class<T>) image.getClass());
}
imagePyramid.process(image);
reacquiring = false;
targetRegion.set(x0, y0, x1, y1);
createCascadeRegion(image.width, image.height);
template.reset();
fern.reset();
tracking.initialize(imagePyramid);
variance.setImage(image);
template.setImage(image);
fern.setImage(image);
adjustRegion.init(image.width, image.height);
learning.initialLearning(targetRegion, cascadeRegions);
strongMatch = true;
previousTrackArea = targetRegion.area();
}
