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dc.contributor.authorAnusha, R.
dc.contributor.authorJaidhar, C.D.
dc.date.accessioned2020-03-30T09:58:44Z-
dc.date.available2020-03-30T09:58:44Z-
dc.date.issued2019
dc.identifier.citationIEEE Region 10 Annual International Conference, Proceedings/TENCON, 2019, Vol.2019-October, , pp.1616-1621en_US
dc.identifier.urihttp://idr.nitk.ac.in/jspui/handle/123456789/7265-
dc.description.abstractGait is a biometric characteristic that facilitates the identification of individuals with low-resolution images. This aspect intensifies its utility in many human detection applications. However, there are many challenges that adversely affect the gait recognition performance. They are caused by the impact of various covariate aspects such as, changes in clothing and carrying conditions, walking speed, walking surface conditions, view variations, and so on. This paper proposes an effective approach for speed-invariant gait recognition system. This approach uses the Region of Interest (ROI) extracted from Gait Energy Image (GEI) to classify a probe sample into a gallery sample. The mutual information obtained from a probe and gallery sample, followed by their classification capture the spatial dynamics of GEI efficiently to improve the gait recognition performance. Further, the proposed method is evaluated on CASIA C and OU-ISIR Treadmill A gait databases. Experimental results demonstrate the capability of the proposed approach in comparison with the existing gait recognition methods. � 2019 IEEE.en_US
dc.titleAn Approach to Speed Invariant Gait Analysis for Human Recognition using Mutual Informationen_US
dc.typeBook chapteren_US
Appears in Collections:2. Conference Papers

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