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The Gait recognition includes the 3 main stages: In stage of moving target detection, this paper uses the background subtraction to extract gait silhouette. In stage of feature extraction, using Key frame technology and Fourier descriptors to extract the motion sequence silhouette feature. According to obtain feature data, we can use weighted K-nearest neighbor (KNN) classifier to train gait database...
Aiming at the feature of signer-independent sign language recognition the training data complexity caused by mass data and noticeable distinctions between different people data, the weighted KNN/HMM model is presented in this paper. This model is made of two blocks, which is part of sign language classification and recognition. In classing part, the KNN (K-Nearest Neighbor, KNN) is used to learn the...
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