Hello everyone,
I have a question about the hog.detectmultiscale method. I'm trying to perform object detection using hog and svm. I understand that after computing the hog for an image size of 64x128 pixels, it returns a 3780-size descriptor. The training was done using svmlight and it returns a single 3780 + bias-size descriptor. What I don't understand is when performing multiscale detection with a scale factor of 1.05 for example, how the comparison can be done when the detection window is bigger than the hog window. I don't think that the descriptor computed by the detection window has the same number of elements that the descriptor computed by the hog window.
Thank you in advance.
