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—The moving objectives' images are in tensor format in reality. That using for reference the thought of tensor space dimension reduction to gain the optimal gait characters with low dimension inaugurate a new gait recognition way. A novel gait expression and recognition algorithm based on the tensor space is introduced here. It is a tensor space learning(More)
—A novel gait expression and recognition algorithm based on the tensor space is introduced here. It is a tensor space learning algorithm that could investigate the inherent geometrical structure of the data manifold. The within-class and the between-class similarity graphs are respectively defined so as to preserve the local structure of the manifold and(More)
A novel gait expression and recognition algorithm is introduced here. After the wavelet transforming, a Spatial-Temporal Energy (STE) images from one gait sequence yield an approximation sub-image including the body's main expression, and three detail sub-images including the motion feature. With the mutual information the combination feature is got. The(More)
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