Suggestion about method for recognition based on machine learning?
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I am going to develop a traffic sign recognition based on machine learning (SVM). I just have to work at the recognition part (NOT in segmentation and detection), So I will get the classification (shape information from the previous work)
What I want to ask:
- What are the best Features that I can use for recognize the traffic sign (despite shape and colours)? Because I will use PCA for features reduction, so I think I need more that 2 features (not only shape and colours)?
- I heard that HOG Features can handle the rotations of the sign, do I still have to rotate my sign while I am using HOG features??
- Do u have another suggestion what method I have to consider about Traffic Sign Recognition Part (For Feature extractor, SVM, tracking the object, rotation handle, occlusion of the object)??
- Do u have suggestion about web, book, tutorial, library function in MATLAB that I can refer to study all about this?