I am trying to find and blur faces in many long video files that all have the following style:
Standard cascades yield a detection of around 1% with almost 100% of all detected faces being false positives. It has been suggested to me that perhaps I should use SVM with HOG though I do not understand how that works or how it is implemented. I am capable of using Cascade-XML files in regular OpenCV fashion to go through each frame, and that is where my expertise runs out I'm afraid.
Is there any concrete OpenCV method that is optimal for this particular task?