I am working on people detection with training datasets. I used two different different feature extraction, HOG and LBP. Each of them will extract 324 feature vector (HOG) and 59 feature vector (LBP) for each training image. I am currently using simple concatenation to combine bothe features and then the results will be feed into SVM classifier to be classified. However, seems like this method gives a domination to HOG.
I have tried to find out another method, which is using fusion features, yet I have no knowledge how to do the algorithm. I really need help from the expert who know about the fusion feature to combine two features.
Really thank you