Patent ID: 8447100
Filing Date: 2013-05-21
Classification: G06K

Abstract:
1. A detecting apparatus to detect a human component from an image comprising: a training database (DB) to store positive and negative samples of the human component; an image processor to calculate a difference image of an input image; a sub-window processor to extract a feature population from a difference image that is calculated for the positive and negative samples of a predetermined human component stored in the training DB; and a human component classifier to detect a human component corresponding to a human component model using the human component model, wherein the human component model is learned from the feature population, wherein when the human component is a human head, the training DB stores the positive and negative samples of the front, left half profile, left profile, left half back, back, right half back, right profile and right half profile of the human head, as positive and negative samples of the human head, and wherein the human component classifier includes: a first head classifier to detect the human head using a first human head model learned from the feature population extracted from the difference images of the positive and negative samples of the front, left half profile, left profile, left half back, back, right half back, right profile and right half profile of the human head based on the difference images of the human head; a second head classifier to detect the front and back of the human head using a second model learned from the feature population extracted from the difference images of the positive and negative samples of the front and back of the human head based on the difference images of the human head; a third head classifier to detect the left and right profiles of the human head using a third model learned from the feature population extracted from the difference images of the positive and negative samples of the left and right profile of the human head based on the difference images of the human head; and a fourth head classifier to detect the left half, left half back, right half back, and right half profiles of the human head using a fourth model learned from the feature population extracted from the difference images of the positive and negative samples of the left half profile, left half back, right half back and right half profile of the human head based on the difference images of the human head.