UGC Approved Journal no 63975(19)

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

Volume 8 Issue 6
June-2021
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2106478


Registration ID:
311208

Page Number

d529-d533

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Title

Human Activity Recognition Using Deep Convolutional Neural Network

Abstract

As the technology is emerging Computers are getting better at solving some very complex problems and advances in computer vision. In the face of extremely fast-growing data with no obvious laws, the traditional feature engineering methods are becoming more and more compact. With the development of Deep Learning technology we do not need to manually extract features, by migrating deep neural network experience in image recognition a deep learning model for human activity Recognition based on video input and training a model to predict the actions performed and achieve better accuracy. Human action recognition is necessary for various computer vision applications that demand information about people’s behavior, including surveillance for public safety, human computer interaction applications, and robotics. The proposed method shows consistent superior performance and has good generalization performance, when compared with state-of-the-arts.

Key Words

Deep Learning, Activity Recognition, Computer Vision, Machine Learning.

Cite This Article

"Human Activity Recognition Using Deep Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 6, page no.d529-d533, June-2021, Available :http://www.jetir.org/papers/JETIR2106478.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 Activity Recognition Using Deep Convolutional Neural Network", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 6, page no. ppd529-d533, June-2021, Available at : http://www.jetir.org/papers/JETIR2106478.pdf

Publication Details

Published Paper ID: JETIR2106478
Registration ID: 311208
Published In: Volume 8 | Issue 6 | Year June-2021
DOI (Digital Object Identifier):
Page No: d529-d533
Country: Kolar, Karnataka, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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