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Automated Human Recognition by Gait using Neural Network

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4 Author(s)
Jang-Hee Yoo ; Inf. Security Res. Div., ETRI, Daejeon ; Doosung Hwang ; Ki-Young Moon ; Nixon, M.S.

We describe a new method for recognizing humans by their gait using back-propagation neural network. Here, the gait motion is described as rhythmic and periodic motion, and a 2D stick figure is extracted from gait silhouette by motion information with topological analysis guided by anatomical knowledge. A sequential set of 2D stick figures is used to represent the gait signature that is primitive data for the feature extraction based on motion parameters. Then, a back-propagation neural network algorithm is used to recognize humans by their gait patterns. In experiments, higher gait recognition performances have been achieved.

Published in:

Image Processing Theory, Tools and Applications, 2008. IPTA 2008. First Workshops on

Date of Conference:

23-26 Nov. 2008