UGC Approved Journal no 63975

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

Volume 9 Issue 4
April-2022
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2204647


Registration ID:
401122

Page Number

g310-g317

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Title

Human Pose Estimation Using Machine Learning

Abstract

Computer vision is becoming increasingly important in video surveillance, video retrieval and analysis, and human-computer interaction because of the ubiquitous nature of video data. Due to rising demand for automated analysis of human actions by computers, this project is being undertaken. This paper presents a human pose estimation system based on global feature extractions that can operate in real time. In the proposed method, video sequences are used to compute features of images. A real-time human pose estimation system is the goal. UT Actions such as hugging, handshakes, kicking, pushing and punching are included in the dataset. Real-time detection of various human activities is made possible through the use of an SVM classifier. The dataset which we have been used is to find similar videos based on the actions in the input videos.

Key Words

Support Vector Machine (SVM)

Cite This Article

"Human Pose Estimation Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 4, page no.g310-g317, April-2022, Available :http://www.jetir.org/papers/JETIR2204647.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

"Human Pose Estimation Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 4, page no. ppg310-g317, April-2022, Available at : http://www.jetir.org/papers/JETIR2204647.pdf

Publication Details

Published Paper ID: JETIR2204647
Registration ID: 401122
Published In: Volume 9 | Issue 4 | Year April-2022
DOI (Digital Object Identifier):
Page No: g310-g317
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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