I am doing project about logos recognition in input video. I have tried many ways but all of them give me wrong solution. I have used: -SURF/SIFT descriptors/detectors but the number of key points is too small and this fail - any other descriptors/detectors like FAST/ORB/BRIEF but with the same result - matching template, but this is not scale, perspective, angle resistant - i have read about HAAR classifier but this is not good for my project because the set of logos to recognise will be changing and in Haar i must to train with positive and negative images
Is there any other possibilities to solve this problem? The example logo http://pl.tinypic.com/r/2r3jryx/8
