Patent Document ID: 20160253570
Application ID: 14847678
Patent Status: 0

Claim One:
1. A feature vector extraction device comprising: a cell learning unit that sets a plurality of cells each representing a position and range for counting a feature vector of a target on the basis of a plurality of images containing a target for learning use, the cell learning unit including a normalizer that selects two feature points from among three or more feature points which are set in the image and represent the target for learning use, and normalizes a size and direction of each of the feature points, a feature point calculator that calculates a mean position and a variation from the relevant mean position for each of other feature points than the selected two feature points of the normalized feature points, and a cell decision unit that decides a position of each of the cells on the basis of the mean position and decides a size of the each of the cells on the basis of the variation.