Method and apparatus for detecting object using volumetric feature vector and 3d haar-like filters

Abstract

In a method of detecting a specific object using a multi-dimensional image including the specific object, with respect to each window slide of the image subjected to window sliding by applying a previously generated 3D cube filter, data of an area corresponding to the window sliding is normalized in a previously defined specific form. After the corresponding part of the normalized data is assigned to each cell in the 3D cube filter, a volume of the cell is then calculated, thereby expressing the volumes of the cells as one volumetric feature vector having a volumetric feature. The volumetric feature vector is applied to a classifier so as to decide whether or not the data of the area corresponding to the window slide corresponds to the specific object.