DocumentCode
2195157
Title
Analysis of algorithm models for Gait Recognition
Author
Prathap C ; Sakkara, Sumanth ; Pradeep Kumar B.P
Author_Institution
Dept. Of ECE, PESIT, Bangalore, India
fYear
2015
fDate
24-25 Jan. 2015
Firstpage
1
Lastpage
6
Abstract
Vision based Posture Recognition has a potential to be a natural and power full tool supporting efficient institutive interface for HCI. This has motivated many researchers in computer vision based analogy interpretation of Gait Recognition as a very active research area. In this paper a survey of recent Human Gait Recognition System is presented, The purpose of this review is to introduce a visual interpretation of Gait Recognition as mechanism of interaction to identify the human in the application of Biometric Authentication.
Keywords
Feature extraction; Gait recognition; Hidden Markov models; Joints; Legged locomotion; Sensors; Biometric Authentication; Gait Energy Image(GEI); Gait Recognition; HCI; Posture Recognition; Silhoutte image; Skelaton Information;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical, Electronics, Signals, Communication and Optimization (EESCO), 2015 International Conference on
Conference_Location
Visakhapatnam, India
Print_ISBN
978-1-4799-7676-8
Type
conf
DOI
10.1109/EESCO.2015.7253835
Filename
7253835
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