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Published in:

Volume 6 Issue 9
September-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIRDD06018


Registration ID:
222591

Page Number

91-95

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Title

A SURVEY OF COMPUTER VISION –BASED HUMAN MOTION CAPTURE

Abstract

A Comprehensive survey on COMPUTER VISION BASED HUMAN MOTION CAPTURE focuses mainly on the basis of Taxonomy/classification of the functionalities which can be divided into the processes: tracking, initialization, estimation & finally recognition each process is divided into several sub processes. The “IDEA” with this report is to present previous work in a structural manner with the help of taxonomies. The study of human movement within sports biomechanics and rehabilitations have a high progress in recent years. It deals with developing a motion Analysis system that collects all the raw info and data.

Key Words

Human Motion Analysis, Taxonomy, Human Motion Recognition, Tracking.

Cite This Article

"A SURVEY OF COMPUTER VISION –BASED HUMAN MOTION CAPTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 9, page no.91-95, September 2019, Available :http://www.jetir.org/papers/JETIRDD06018.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

"A SURVEY OF COMPUTER VISION –BASED HUMAN MOTION CAPTURE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 9, page no. pp91-95, September 2019, Available at : http://www.jetir.org/papers/JETIRDD06018.pdf

Publication Details

Published Paper ID: JETIRDD06018
Registration ID: 222591
Published In: Volume 6 | Issue 9 | Year September-2019
DOI (Digital Object Identifier):
Page No: 91-95
Country: -, -, - .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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