UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 6 Issue 6
June-2019
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIREY06136


Registration ID:
312779

Page Number

722-727

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Title

Gait-Based Human Identification using Silhouette Analysis

Authors

Abstract

Human identification proof received at a distance has as of late gained increased interest from computer vision specialists. Gait recognition points basically to address this issue by recognizing individual’s identity on the manner in which they gait. Presently, straightforward yet effective gait recognition algorithm utilizing spatial-temporal silhouette investigation is proposed. For each image arrangement, a background subtraction algorithm and a simple communication technique are first used to section and track the moving silhouettes of a walking figure. At that point, eigenspace transformation on Principal Component Analysis (PCA) is applied to time-varying distance signals got from a grouping of silhouette images to diminish the dimensionality of the information feature space. Supervised pattern classification methods are in long run acted in the lower-dimensional eigenspace for recognition. This strategy certainly captures the basic and transitional attributes of gait. Broad trial results on outdoor image groupings show that the proposed algorithm has an empowering recognition execution with generally low computational expenses.

Key Words

Biometrics, Gait recognition, Human identification, Principle component analysis, Silhouette analysis.

Cite This Article

"Gait-Based Human Identification using Silhouette Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.722-727, June-2019, Available :http://www.jetir.org/papers/JETIREY06136.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Gait-Based Human Identification using Silhouette Analysis", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp722-727, June-2019, Available at : http://www.jetir.org/papers/JETIREY06136.pdf

Publication Details

Published Paper ID: JETIREY06136
Registration ID: 312779
Published In: Volume 6 | Issue 6 | Year June-2019
DOI (Digital Object Identifier):
Page No: 722-727
Country: -, -, India .
Area: Engineering
ISSN Number: 2349-5162


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