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- W2382169221 abstract "The gait as one of biometrics has recently gained more and more interests from computer vision researchers.An automatic gait recognition approach for analyzing and classifying human gait was proposed by computer vision techniques.The approach incorporates knowledge of the shape and dynamics of human gait into the feature extraction process.Different from the model-based approaches,a novel method was proposed to attain the limb angle information by analyzing the variation of silhouette width without needing the human body model.First,a background subtraction was used to separate objects from background.Gait cycle was obtained by analyzing the variety of the silhouette width and height.Then,Discrete Cosine transform was used to analyze the shape and leg angle characteristic and represent the gait features.KNN was used to distinguish the different gaits of persons.The performance of the approach was tested using different gait databases.And the approach shows a better recognition rate." @default.
- W2382169221 created "2016-06-24" @default.
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- W2382169221 date "2006-01-01" @default.
- W2382169221 modified "2023-09-23" @default.
- W2382169221 title "Automatic Human Identification Method Based On Gait Analysis" @default.
- W2382169221 hasPublicationYear "2006" @default.
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