CFP last date
22 April 2024
Call for Paper
May Edition
IJCA solicits high quality original research papers for the upcoming May edition of the journal. The last date of research paper submission is 22 April 2024

Submit your paper
Know more
The week's pick
Responsive image
Enhancing Privacy Preservation: Multi-Attribute Protection with P-Sensitive K-Anonymity

Twinkle Patel Kiran Amin
Random Articles
Reseach Article

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.

References
  1. Smart Web Cam Motion Detection Surveillance System(ISSN: 2249-6645 ).
  2. Image-based Face Detection and Recognition (ISSN (Online): 1694-0814).
  3. Motion Detection based on Multi Frame Video under Surveillance System(ISSN 2250-2459)
  4. Face Detection and Recognition in an Image Sequence using Eigen edginess.
  5. Face Recognition Data, University of Essex, UK, Face94,http://cswww. essex. ac. uk/mv/allfaces/faces94. html
  6. Face Recognition Data, University of Essex, UK, Face95,http://cswww. essex. ac. uk/mv/allfaces/faces95. html.
  7. S. C. Dass and A. K. Jain. Markov face models. In Proceedings,Eighth IEEE International Conference on Computer Vision(ICCV), pages 680–687, July 2001.
  8. V. D. Ambeth Kumar, M. Ramakrishanv. D. Ambeth Kumar, M. Ramakrishna: "Web Cam Motion Detection Surveillance System Using Temporal Difference AND Optical Flow Detection WITH Multi Alerts".
  9. Ismail Haritaoglu, David Harwood and Larry S. Davis, "W4: Real-Time Surveillance of people and their Activities", Proceedings of the IEEE Transactions on Pattern Analysis and Machine Intelligence,Volume 22, No. 8, pp 809-830, August 2000.
  10. A. Suman, Automated face recognition: Applications within law enforcement. Market and technology review, "NPIA",2006.
  11. K. T. Talele, S. Kadam, A. Tikare, Efficient Face Detection using Adaboost, "IJCA Proc on International Conference in Computational Intelligence", 2012.
  12. P. Kiran Kumar, Sukhendu Das and B. Yegnanarayana. One-Dimensional processing of images. In International Conference on Multimedia Processing Systems, Chennai, India, pages 181–185, August 13-15, 2000.
  13. Http://Www. Videomotiondetectors. Com, Ave Thailand O. , Ltd. 147 Soi Onnut44, (Sampheenong Villa), Sukhumvit 77 Rd. , Suanluang, Suanluang, Bangkok 10250 Thailand.
  14. R. J. Radke, S. Andra, O. Al-Kofahi, and B. Roysam "Image Change Detection Algorithms: A Systematic Survey," IEEE Trans. Image Processing, vol. 14, no. 3, pp. 294–303, March. 2005.
  15. L. Wiskott, M. Fellous, N. Krger, and C. Malsburg, Face recognition by elastic bunch graph matching, "IEEE Trans", on PAMI, 19:775–779, 1997.
Index Terms

Computer Science
Information Sciences

Keywords

Face Detection Face Recognition Biometrics.