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Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm

Ramakrishna B1 , M Sharmila Kumari2

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-6 , Page no. 1518-1522, Jun-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i6.15181522

Online published on Jun 30, 2018

Copyright © Ramakrishna B B, M Sharmila Kumari . 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: Ramakrishna B B, M Sharmila Kumari, “Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.6, pp.1518-1522, 2018.

MLA Style Citation: Ramakrishna B B, M Sharmila Kumari "Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm." International Journal of Computer Sciences and Engineering 6.6 (2018): 1518-1522.

APA Style Citation: Ramakrishna B B, M Sharmila Kumari, (2018). Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm. International Journal of Computer Sciences and Engineering, 6(6), 1518-1522.

BibTex Style Citation:
@article{B_2018,
author = {Ramakrishna B B, M Sharmila Kumari},
title = {Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {6 2018},
volume = {6},
Issue = {6},
month = {6},
year = {2018},
issn = {2347-2693},
pages = {1518-1522},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2377},
doi = {https://doi.org/10.26438/ijcse/v6i6.15181522}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i6.15181522}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2377
TI - Implementation of combined Viola-Jones and NPD Based Face Detection Algorithm
T2 - International Journal of Computer Sciences and Engineering
AU - Ramakrishna B B, M Sharmila Kumari
PY - 2018
DA - 2018/06/30
PB - IJCSE, Indore, INDIA
SP - 1518-1522
IS - 6
VL - 6
SN - 2347-2693
ER -

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Abstract

Now a days video information is growing more and more widespread, their intelligent or automatic examining is becoming exceptionally important. People, i.e. human faces, are one of most common and very specific objects in video, which are tried to trace with help face detection tools. Face detection is a difficult task in image analysis which has each day more and more applications. In this paper we presented comparison of two face detection methods, which are commonly used. The Viola-Jones face detector is first reviewed and different techniques used in this algorithm to extract features are discussed. Secondly color based face detection approach is reviewed. In this paper, we implement Viola-Jons and Normalized pixel difference (NPD) detection methods. These algorithms are explained in brief. These face detection methods that are universally used are elaborated with their capabilities, advantages and disadvantages.

Key-Words / Index Term

Face detection, Viola-Jones face detector, Color Space, NPD, Adaboost, Feature Extraction

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