A method of learning a rejector by constructing a classification tree using a training image, and detecting an object on a test image using the rejector

摘要

A method for learning a rejector is provided. The method includes steps of: acquiring features from positive images and negative images of the classification tree; and deciding a specific feature ID and a specific threshold by which a minimum classification error is derived by referring to a histogram of features of positive images and that of features of negative images if a number of images classified to a k -th node is larger than that classified to a brother node of the k -th node as a result of classifying images acquired with respect to a parent node of the k -th node based on a determined feature ID and a determined threshold for the parent node and then allocating the specific feature ID and the specific threshold in nodes, which have depth equal to the k -th node of the classification tree.