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.
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. 13. The face recognition method of claim 11 , wherein, in the searching for the given registration model, the registration model is recognized by calculating similarities between the extracted facial feature vectors and facial feature vectors of the registration models stored in the user registration model DB.