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An Approach towards Face Counting System using Image Processing Techniques

A. Sur1 , S. Sarkar2 , K. Sarkar3

Section:Research Paper, Product Type: Journal Paper
Volume-5 , Issue-2 , Page no. 34-37, Feb-2017

Online published on Mar 01, 2017

Copyright © A. Sur , S. Sarkar , K. Sarkar . 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: A. Sur , S. Sarkar , K. Sarkar , “An Approach towards Face Counting System using Image Processing Techniques,” International Journal of Computer Sciences and Engineering, Vol.5, Issue.2, pp.34-37, 2017.

MLA Style Citation: A. Sur , S. Sarkar , K. Sarkar "An Approach towards Face Counting System using Image Processing Techniques." International Journal of Computer Sciences and Engineering 5.2 (2017): 34-37.

APA Style Citation: A. Sur , S. Sarkar , K. Sarkar , (2017). An Approach towards Face Counting System using Image Processing Techniques. International Journal of Computer Sciences and Engineering, 5(2), 34-37.

BibTex Style Citation:
@article{Sur_2017,
author = {A. Sur , S. Sarkar , K. Sarkar },
title = {An Approach towards Face Counting System using Image Processing Techniques},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {2 2017},
volume = {5},
Issue = {2},
month = {2},
year = {2017},
issn = {2347-2693},
pages = {34-37},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=1174},
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=1174
TI - An Approach towards Face Counting System using Image Processing Techniques
T2 - International Journal of Computer Sciences and Engineering
AU - A. Sur , S. Sarkar , K. Sarkar
PY - 2017
DA - 2017/03/01
PB - IJCSE, Indore, INDIA
SP - 34-37
IS - 2
VL - 5
SN - 2347-2693
ER -

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Abstract

In this modern time, face recognition has gathered much attention and its research has enormously expanded among researchers, since it has many potential applications in computer vision, communication and automatic access control system etc. Especially, human detection is an important part of crowd analysis as the primary goal for automatic human face detection. However, face detection is not very simple as faces of human varies from person to person. They varies in different aspects such as pose variation (front, profile face etc), image orientation, illuminating condition, and facial expression and so on. Therefore, an approach is put forward to evaluate the number of people present in a group image of human. The results found are encouraging.

Key-Words / Index Term

Face counting system, MatLab, Morphological operation, Face Detection, Spatial transform

References

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