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Face recognition system and method based on adaptive learning

机译:基于自适应学习的人脸识别系统及方法

摘要

A face recognition system based on adaptive learning includes a specific person detection and tracking unit for detecting and tracking a specific person from a moving image. A facial feature extraction unit extracts a plurality of facial feature vectors from the detected and tracked specific person. A face recognition unit searches 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. A learning target selection unit selects a facial feature vector to be added to a record of the given registration model from among the extracted facial feature vectors. A registration model learning unit adds and updates the selected facial feature vector to the record of the given registration model.
机译:基于自适应学习的面部识别系统包括用于从运动图像中检测和跟踪特定人的特定人检测和跟踪单元。面部特征提取单元从检测到并跟踪的特定人提取多个面部特征向量。面部识别单元通过将提取的面部特征向量与先前存储在用户注册模型数据库中的注册模型的面部特征向量进行比较来搜索给定的注册模型。学习目标选择单元从提取的面部特征向量中选择要添加到给定注册模型的记录的面部特征向量。注册模型学习单元将所选择的面部特征向量添加并更新到给定注册模型的记录。

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