12. The face recognition method of claim 11 , wherein, in the detecting and tracking, the specific person is detected and tracked on a basis of a degree in which facial areas of the specific person overlap each other in the moving image with a lapse of time.
11. A face recognition method based on adaptive learning, comprising: detecting and tracking a specific person from a moving image; extracting a plurality of facial feature vectors from the detected and tracked specific person; searching for a given registration model by comparing the extracted facial feature vectors with facial feature vectors of the registration models previously stored in a user registration model Database (DB); selecting a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors, wherein the selected facial feature vector has a lowest similarity, of the extracted facial feature vectors, to the given registration model; and adding and updating the selected facial feature vector to the record of the given registration model.