%0 Journal Article
%T GAIT RECOGNITION BASED ON SYMBOLIC REPRESENTATION
%A MOHAN KUMAR H.P.
%A NAGENDRASWAMY H.S.
%J International Journal of Machine Intelligence
%D 2011
%I Bioinfo Publications
%X In this paper, we present a method of representing a gait by interval-valued symbolic feature for gait recognition.The proposed symbolic representation is capable of capturing variations in gait features due to change in cloth, carrying bagand different normal conditions (change in time) more effectively. A method of selecting a common threshold for validating thebelongingness of a test gait to a specific class of gait is investigated. An appropriate method of matching a test gait sequencewith a reference gait sequence for the purpose of gait recognition has been studied. An experimentation is conducted on astandard considerably large gait database (CASIA DATASET B) to study the efficacy of the proposed symbolic representation.The results obtained are satisfactory and encouraging
%K Subject (individual person)
%K Acceptance count
%K Threshold
%K interval-valued features
%K correct positive
%K false negative
%K correct negative
%K false positive
%U http://www.bioinfo.in/uploadfiles/13258308323_4_22_IJMI.pdf