UGC Approved Journal no 63975(19)

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

Volume 6 Issue 5
May-2019
eISSN: 2349-5162

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

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Published Paper ID:
JETIR1905165


Registration ID:
208544

Page Number

433-454

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Title

A Novel Approach To Detect Objects In The Videos Using Machine Learning

Abstract

Abstract— This Paper basically contains applications of computer vision. In this Paper we have implemented computer vison and its three major application. First of all we have implemented face recognition system using Rapid object detection using Boosted Cascade of Simple Features paper published by Paul Viola and Michael Jones. Then we further implemented SSD algorithm for object detection using paper SSD: Single Shot MultiBox detection published by Wei Liu. At last we have implemented Generative Adversarial Network using paper publish by Ian Goodfellow. For implementing SSD we have used VOC dataset which is mentioned in paper by Wei Liu. SSD is much better than other normal CNN technique having 76.9% accuracy on 512 x 512 model.

Key Words

CNN, SSD, Generative Adversarial Network, Object detection

Cite This Article

"A Novel Approach To Detect Objects In The Videos Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.433-454, May-2019, Available :http://www.jetir.org/papers/JETIR1905165.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

"A Novel Approach To Detect Objects In The Videos Using Machine Learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp433-454, May-2019, Available at : http://www.jetir.org/papers/JETIR1905165.pdf

Publication Details

Published Paper ID: JETIR1905165
Registration ID: 208544
Published In: Volume 6 | Issue 5 | Year May-2019
DOI (Digital Object Identifier):
Page No: 433-454
Country: Indore, Madhya Pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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