Detecting Face in video file and images
N. Mahale1 , M.S. Nagmode2
Section:Research Paper, Product Type: Journal Paper
Volume-2 ,
Issue-5 , Page no. 134-137, May-2014
Online published on May 31, 2014
Copyright © N. Mahale, M.S. Nagmode . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: N. Mahale, M.S. Nagmode, “Detecting Face in video file and images,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.5, pp.134-137, 2014.
MLA Style Citation: N. Mahale, M.S. Nagmode "Detecting Face in video file and images." International Journal of Computer Sciences and Engineering 2.5 (2014): 134-137.
APA Style Citation: N. Mahale, M.S. Nagmode, (2014). Detecting Face in video file and images. International Journal of Computer Sciences and Engineering, 2(5), 134-137.
BibTex Style Citation:
@article{Mahale_2014,
author = {N. Mahale, M.S. Nagmode},
title = {Detecting Face in video file and images},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2014},
volume = {2},
Issue = {5},
month = {5},
year = {2014},
issn = {2347-2693},
pages = {134-137},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=174},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=174
TI - Detecting Face in video file and images
T2 - International Journal of Computer Sciences and Engineering
AU - N. Mahale, M.S. Nagmode
PY - 2014
DA - 2014/05/31
PB - IJCSE, Indore, INDIA
SP - 134-137
IS - 5
VL - 2
SN - 2347-2693
ER -
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Abstract
Face detection is very first term face recognition. Find Face and feature of face has very important in many application such as face tracking, surveillance and security system etc. This paper presents a face detection technique which detects the faces in images and video file. It receives the images or video file from camera and detects the locations of face(s). This system uses Opencv library and VC 10.
Key-Words / Index Term
Fact detection, Haar classifier, cascade, opencv.
References
[1] I. Sajid, M. M. Ahmed, I. Taj, M. Humayun, and F.Hameed, �Design of high performance fpga based face recognition system�, in PIERS Proceedings, Cambridge, July 2 2008.
[2] H. T. Ngo, R. Gottumukkal, and V. K. Asari,� A flexible and efficient hardware architecture for real-time face recognition based on eigenface�, in IEEE Computer Society Annual Symposium on VLSI, 2005.
[3] Sathaporn Visakhasart, Orachat Chitsobhuk, �Multi-Pipelinearchitecture for face recognition on FPGA�, International Conference on digital Image Processing, 2009, p. 152-156.
[4] J. Cho, S. Mirzaei, J. Oberg, and R. Kastner, �Fpga-based face detection system using haar classifiers�, in International Symposium on Field Programmable Gate Arrays, February2009.
[5] J. Cho, B. Benson, and R. Kastner, �Hardware acceleration of multi-view face detection�, in IEEE Symposium on Application Specific Processors, July 2009.
[6] P. Viola and M. Jones, �Robust real-time object detection�, International Journal of Computer Vision, 57(2), 137-154, 2004.
[7] Vikas V. Mankar, Chandrakant N.Bhoyar,� Efficient Real Time Face Detection Technique Using Harr Classifier� , International Journal of Engineering and Innovative Technology (IJEIT), Volume 1, Issue 5, May 2012.
[8] M.Gopi Krishna, A. Srinivasulu, �Face Detection System on AdaBoost Algorithm Using Haar Classifiers�, International Journal of Modern Engineering Research (IJMER) Vol. 2, Issue. 5, Sep.-Oct. 2012 , pp-3556-3560
[9] Quan Li, Usman Niaz, and Bernard Merialdo, �An Improved Algorithm on Viola-Jones Object detector �CBMI , 2012 IEEE.
[10] Jianfang Dou, Jianxun Li, Zhi Zhang, Shan Han, �Face Tracking with an Adaptive Adaboost-Based Particle Filter�, 2012 IEEE.
[11] P.Karthigayani and Dr.S.Sridhar, �Occlusion verification in facedetection and age estimation using local binary pattern and dtod classifier using morph dataset�, Indian Journal of Computer Science and Engineering (IJCSE), Vol. 4 No.1 Feb-Mar 2013, pp. 1-10