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Face Recognition from Still Images and Image Sequence

Published on May 2015 by Priyanka Pitale, Ashu Batra, Chandra Rao, Shubham Bhattacharya
journal_cover_thumbnail

National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 1
May 2015
Authors: Priyanka Pitale, Ashu Batra, Chandra Rao, Shubham Bhattacharya
39c6e10c-58b4-4869-bda8-1999f3581139

Priyanka Pitale, Ashu Batra, Chandra Rao, Shubham Bhattacharya . Face Recognition from Still Images and Image Sequence. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 1 (May 2015), 5-7.

@article{
author = { Priyanka Pitale, Ashu Batra, Chandra Rao, Shubham Bhattacharya },
title = { Face Recognition from Still Images and Image Sequence },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 1 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 5-7 },
numpages = 3,
url = { /proceedings/acewrm2015/number1/20892-6002/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Priyanka Pitale
%A Ashu Batra
%A Chandra Rao
%A Shubham Bhattacharya
%T Face Recognition from Still Images and Image Sequence
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 1
%P 5-7
%D 2015
%I International Journal of Computer Applications
Abstract

The main aim of our project is to keep check on the intruders by identifying their face from the still image or image sequence and matching them with the data stored in our database. As now a days there are many incidents of intruders getting into a highly restricted area and becoming a threat to the nation. Our project focuses on solving this problem and making it easy for the concerned persons to catch hold of them. Our project aims to detect the faces from the live videos at the same point so as to increase the surveillance power of our nation.

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Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Face Recognition Biometrics.