UGC Approved Journal no 63975

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

Volume 6 Issue 2
February-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIREL06024


Registration ID:
305966

Page Number

123-124

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Title

A Comparative Study of Various Person Re-Identification in Videos

Authors

Abstract

The various techniques for person re-identification in videos have been discussed and presented in this work. Many techniques like re-identification using neuromorphic criteria, deep metric learning with pose invariant case, transformation based on relaxation of label space, networks using multi-cameras, hybrid representation reinforced, bag of words model and log density gradient clustering are reviewed and illustrated in brief. This study can be used to further improve the existing techniques for person re-identification.

Key Words

Person re-identification, video, comparative study

Cite This Article

"A Comparative Study of Various Person Re-Identification in Videos", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 2, page no.123-124, February-2019, Available :http://www.jetir.org/papers/JETIREL06024.pdf

ISSN


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

"A Comparative Study of Various Person Re-Identification in Videos", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 2, page no. pp123-124, February-2019, Available at : http://www.jetir.org/papers/JETIREL06024.pdf

Publication Details

Published Paper ID: JETIREL06024
Registration ID: 305966
Published In: Volume 6 | Issue 2 | Year February-2019
DOI (Digital Object Identifier):
Page No: 123-124
Country: Chandigarh, Chandigarh, india .
Area: Engineering
ISSN Number: 2349-5162


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