A METHOD FOR DETECTING HUMAN USING WAVELET-BASED CS-LBP AND A CASCADE OF RANDOM FORESTS

摘要

PURPOSE: A person detection method using a hierarchical random forest algorithm and a wavelet based CS-LBP(Center Symmetric Local Binary Pattern) is provided to determine final person area by learning a hierarchical random forest algorithm for CS-LBP characteristics. CONSTITUTION: Wavelet based CS-LBP characteristics are extracted from an input image(S100). A learning process for the extracted CS-LBP is executed using a random forest algorithm(S200). The learned random forest algorithms are hierarchically connected(S300). A final person area which passes through all connected random forest algorithms is determined in the input image(S400). The input image is converted into a plurality of sub images.