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This document describes a new human gait recognition system based on the Radon transform. The system first extracts silhouettes from video frames and applies the Radon transform to the binary silhouettes. This creates a set of "templates" for each gait sequence that capture dynamic and static features of the gait. Principal component analysis is then used to reduce the dimensionality of the templates. Finally, the templates are used to train neural networks for human identification - one network trains on e
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- International Jpurnal Of Technical Research And Applications
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- EN
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