UGC Approved Journal no 63975(19)

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

Volume 9 Issue 7
July-2022
eISSN: 2349-5162

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

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2207037


Registration ID:
405356

Page Number

a292-a298

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Title

OBJECT DETECTION AND RECOGNITION IN VIDEOS USING DEEP LEARNING

Abstract

Object detection and recognition are the most basic and central tasks in computer vision. Its task is to find all the interesting objects in the image, and determine the category and location of the objects. Object detection and recognition are widely used and have strong practical value and research prospects. With the development of convolutional neural networks in recent years, significant breakthroughs have been made in object detection. Still Deeper neural networks are more challenging to train. We present a residual learning framework to ease the training of networks that are substantially deeper when compared to previously used ones.

Key Words

Artificial intelligence, machine learning, deep learning, convolutional neural network, object detection, image recognition, video processing, and MobileNet.

Cite This Article

"OBJECT DETECTION AND RECOGNITION IN VIDEOS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 7, page no.a292-a298, July-2022, Available :http://www.jetir.org/papers/JETIR2207037.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

"OBJECT DETECTION AND RECOGNITION IN VIDEOS USING DEEP LEARNING", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 7, page no. ppa292-a298, July-2022, Available at : http://www.jetir.org/papers/JETIR2207037.pdf

Publication Details

Published Paper ID: JETIR2207037
Registration ID: 405356
Published In: Volume 9 | Issue 7 | Year July-2022
DOI (Digital Object Identifier):
Page No: a292-a298
Country: Mysuru, Karnataka, India .
Area: Science & Technology
ISSN Number: 2349-5162
Publisher: IJ Publication


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