Abstract:

A pedestrian detection method is proposed based on the fusion of HSV color space feature and LBP  feature.HSV feature is global which can simply describe the global distribution of colors in an image while LBP feature is a good description of the spatial structure of a local image,therefore the proposed method takes both the global features and the local features into account, which has the advantages of low dimension and quick computing speed.In Matlab,Adaboost classifier is used to carry out the experiments.Results show that, compared with the classic Gradient Direction Histogram (HOG) feature,LBP feature,Pyramid Histogram of Oriented Gradients (PHOG) feature and HOG-LBP feature,the proposed method is of high recognition rate.

Key words: color space;LBP;HSV;feature fusion