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FACE RECOGNIZING AND FACE TRACKING METHOD USING RADIAL BASIS FUNCTION NEURAL NETWORKS (RBFNN) PATTERN CLASSIFIER AND OBJECT TRACKING ALGORITHM AND SYSTEM FOR EXECUTING SAME
FACE RECOGNIZING AND FACE TRACKING METHOD USING RADIAL BASIS FUNCTION NEURAL NETWORKS (RBFNN) PATTERN CLASSIFIER AND OBJECT TRACKING ALGORITHM AND SYSTEM FOR EXECUTING SAME
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机译:基于径向基神经网络模式分类器和对象跟踪算法的人脸识别和人脸跟踪方法
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摘要
The present invention relates to a face recognizing and face tracking method using a radial basis function neural networks (RBFNN) pattern classifier and an object tracking algorithm and a system for executing the same. More specifically, the system includes a learning step and a test step performed after the learning step. The learning step includes the following steps: (1) detecting face images of a plurality of poses; (2) pre-processing the face images of the poses individually; (3) allowing data of each pose to be learnt; and (4) obtaining an optimum parameter for the data by each pose. The test step includes the following steps: (a) detecting a test face image; (b) determining a pose most similar to the test face image; (c) recognizing the test face image; (d) and tracking the test face image.;COPYRIGHT KIPO 2016
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