Patent Document ID: 8135220
Application ID: 12115250

Base Claim:
1. 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.

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Claim 5:
5. The face recognition system of claim 1 , wherein the face recognition unit calculates similarities between the extracted facial feature vectors and facial feature vectors of the registration models stored in the user registration model DB, to recognize the given registration model.