Please use this identifier to cite or link to this item: https://idr.l1.nitk.ac.in/jspui/handle/123456789/8604
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dc.contributor.authorAnusha, R.
dc.contributor.authorJaidhar, C.D.
dc.date.accessioned2020-03-30T10:22:28Z-
dc.date.available2020-03-30T10:22:28Z-
dc.date.issued2020
dc.identifier.citationAdvances in Intelligent Systems and Computing, 2020, Vol.941, , pp.322-331en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/8604-
dc.description.abstractGait is a promising biometric for which various methods have been developed to recognize individuals by the pattern of their walking. Nevertheless, the possibility of identifying individuals by using their running video remains largely unexplored. This paper proposes a new and simple method that extends the feature based approach to recognize people by the way they run. In this work, 12 features were extracted from each image of a gait cycle. These are statistical, texture based and area based features. The Relief feature selection method is employed to select the most relevant features. These selected features are classified using k-NN (k-Nearest Neighbor) classifier. The experiments are carried out on KTH and Weizmann database. The obtained experimental results demonstrate the efficiency of the proposed method. � 2020, Springer Nature Switzerland AG.en_US
dc.titleOn Human Identification Using Running Patterns: A Straightforward Approachen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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