Let's suppose I have an image of a person and its corresponding background. Using OpenCV I can relatively easily get a silhouette of the person from the image. I am doing a project on human recognition using silhouettes and the only things I came up with for feature extraction are so called Granlund coefficients derived from Fourier coefficients and Hu moments which provide me with features I can send to various classifiers I have. What I am further curious about is what other methods are there, if any, for feature extraction from silhouettes? EDIT: In accordance with the first commentator, I will expand my question. As I said, I have tried with Granlund coefficients and Hu moments, both of them are well documented standard techniques which you can find in OpenCV documentation and IEEE Xplore digital library (Granlund coefficients). Also, I didn't say anything specific about the features, I just want to know about various methods for silhouette feature extraction, other than the two mentioned above.
Methods for silhouette feature extraction
reference request;pattern recognition