Face recognition system and method based on adaptive learning

A face recognition system based on adaptive learning, comprising:

• a specific person detection and tracking unit for detecting and tracking a specific person from a moving image;
• a facial feature extraction unit for extracting a plurality of facial feature vectors from the detected and tracked specific person;
• a face recognition unit for 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);
• a learning target selection unit for 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
• a registration model learning unit for adding and updating the selected facial feature vector to the record of the given registration model.