UGC Approved Journal no 63975(19)

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

Volume 10 Issue 5
May-2023
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2305D29


Registration ID:
517871

Page Number

n171-n180

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Title

Action Detection System Using Video Processing and Machine Learning

Abstract

n compared to its analogue predecessors, the digital IP video system offers a wide range of features and capabilities, but it still faces significant difficulties in the creation and implementation of intelligent and efficient systems. This initiative aims to satisfy the rising need for automated analysis and comprehension of human behaviour. The presentation of a real-time human activity identification system built on global feature extractions. The suggested method calculates an image's characteristics from video sequences. The goal is to combine local and global properties to create a powerful real-time recognition system. We utilize the UT Dataset, which includes the following actions: embracing, handshakes, kicking, punching, and pushing. Convolution neural networks (CNN) are used to instantly identify various human actions. Similar videos based on action recognized in input videos are retrieved from the dataset as output.

Key Words

Analysis, Action recognition, Machine learning, Camera Storage, Object detection

Cite This Article

"Action Detection System Using Video Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n171-n180, May-2023, Available :http://www.jetir.org/papers/JETIR2305D29.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

"Action Detection System Using Video Processing and Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn171-n180, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D29.pdf

Publication Details

Published Paper ID: JETIR2305D29
Registration ID: 517871
Published In: Volume 10 | Issue 5 | Year May-2023
DOI (Digital Object Identifier):
Page No: n171-n180
Country: Pune, Maharshtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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