NDLI: Effective part definition for gait identification using gait entropy image

Content Provider	IEEE Xplore Digital Library
Author	Rokanujjaman, M. Hossain, M.A. Islam, M.R. Islam, M.S.
Copyright Year	2013
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Univ. of Rajshahi, Rajshahi, Bangladesh (Rokanujjaman, M.; Hossain, M.A.) \|\| Dept. of Appl. Phys. & Electron. Eng., Univ. of Rajshahi, Rajshahi, Bangladesh (Islam, M.R.) \|\| Dept. of Comput. Sci. & Eng., Pabna Univ. of Sci. & Technol., Pabna, Bangladesh (Islam, M.S.)
Abstract	Changing the appearance of human gait due to the clothing variations makes the gait recognition problem much harder. In this paper, we study the gait signature by dividing the human body into very small fragments and investigate the effectiveness of these fragments when it combines one after another in step-wise. It has been demonstrated that dynamic parts shows more uncertainty thus for more informative in gait recognition. We have used more dynamic weighted entropy based gait representation in our parts definition as input gait features. The result of the proposed method outperforms others reported whole based and part based gait recognition approaches.
Sponsorship	IEEE Comput. Soc.
Starting Page	1
Ending Page	4
File Size	755526
Page Count	4
File Format	PDF
ISBN	9781479903979
e-ISBN	9781479904006
DOI	10.1109/ICIEV.2013.6572551
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-05-17
Publisher Place	Bangladesh
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Legged locomotion Databases Gait Discrete Fourier transforms Clothing Entropy Identification Probes Gait recognition Effective part
Content Type	Text
Resource Type	Article

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