Information set based features for the speed invariant gait recognition

Jeevan, M and Madasu, Hanmandlu and Ketan, Panigrahi Bijaya (2018) Information set based features for the speed invariant gait recognition. IET Biometrics, 7 (3). pp. 269-277. ISSN 2047-4938

[img] PDF
4881.pdf - Published Version
Restricted to Registered users only

Download (2MB) | Request a copy
Official URL: http://www.ietdl.org

Abstract

A novel speed-invariant gait features called two-fold information set (2FInS) features that capture both spatial and temporal variations in a gait cycle are proposed in this study. These features are obtained by applying first histogram of oriented gradients descriptors on the gait images followed by the representation of the underlying possibilistic uncertainty using the Hanman–Jeevan entropy function. The 2FInS features are validated on three databases: CASIA-C, OU-ISIR Treadmill-A and OU-ISIR Treadmill-D using Procrustes distance based classifier. In view of accounting both spatial and temporal information distributed throughout a gait cycle, the results obtained are superior to those of the existing methods.

Item Type: Article
Uncontrolled Keywords: Gait Recognition, Speed invariant, Information Set Theory
Subjects: Engineering > MIT Manipal > Biomedical
Depositing User: MIT Library
Date Deposited: 14 Aug 2018 05:10
Last Modified: 14 Aug 2018 05:11
URI: http://eprints.manipal.edu/id/eprint/151769

Actions (login required)

View Item View Item