Effective part selection for part-based gait identification

Different cofactors can affect different body parts and make difficulties for gait identification We study the contributions of very small segment in term recognition rate for dividing the body into five parts. Depending on the positive or negative effects for recognition, three parts are selected a...

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Published in2012 7th International Conference on Electrical and Computer Engineering pp. 17 - 19
Main Authors Rokanujjaman, M., Hossain, M. A., Islam, M. R.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2012
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Abstract Different cofactors can affect different body parts and make difficulties for gait identification We study the contributions of very small segment in term recognition rate for dividing the body into five parts. Depending on the positive or negative effects for recognition, three parts are selected as effective parts and other two parts discarded as redundant. Experimental result shows promising performance in comparison with other part based methods.
AbstractList Different cofactors can affect different body parts and make difficulties for gait identification We study the contributions of very small segment in term recognition rate for dividing the body into five parts. Depending on the positive or negative effects for recognition, three parts are selected as effective parts and other two parts discarded as redundant. Experimental result shows promising performance in comparison with other part based methods.
Author Rokanujjaman, M.
Hossain, M. A.
Islam, M. R.
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  givenname: M. R.
  surname: Islam
  fullname: Islam, M. R.
  organization: Dept. of Appl. Phys. & Electron. Eng., Univ. of Rajshahi, Rajshahi, Bangladesh
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Snippet Different cofactors can affect different body parts and make difficulties for gait identification We study the contributions of very small segment in term...
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StartPage 17
SubjectTerms Effective Part
Feature extraction
Gait
Gait recognition
Identification
Legged locomotion
Part-Based
Probes
Title Effective part selection for part-based gait identification
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