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Fast and Real Life Object Detection System Using Simple Webcam

Md.T. Akhtar1 , S.T. Razi2 , K.N. Jaman3 , A. Azimusshan4 , Md.A. Sohel5

Section:Research Paper, Product Type: Isroset-Journal
Vol.6 , Issue.4 , pp.18-23, Aug-2018


CrossRef-DOI:   https://doi.org/10.26438/ijsrcse/v6i4.1823


Online published on Aug 31, 2018


Copyright © Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel . 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: Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel, “Fast and Real Life Object Detection System Using Simple Webcam,” International Journal of Scientific Research in Computer Science and Engineering, Vol.6, Issue.4, pp.18-23, 2018.

MLA Style Citation: Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel "Fast and Real Life Object Detection System Using Simple Webcam." International Journal of Scientific Research in Computer Science and Engineering 6.4 (2018): 18-23.

APA Style Citation: Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel, (2018). Fast and Real Life Object Detection System Using Simple Webcam. International Journal of Scientific Research in Computer Science and Engineering, 6(4), 18-23.

BibTex Style Citation:
@article{Akhtar_2018,
author = {Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel},
title = {Fast and Real Life Object Detection System Using Simple Webcam},
journal = {International Journal of Scientific Research in Computer Science and Engineering},
issue_date = {8 2018},
volume = {6},
Issue = {4},
month = {8},
year = {2018},
issn = {2347-2693},
pages = {18-23},
url = {https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=780},
doi = {https://doi.org/10.26438/ijcse/v6i4.1823}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i4.1823}
UR - https://www.isroset.org/journal/IJSRCSE/full_paper_view.php?paper_id=780
TI - Fast and Real Life Object Detection System Using Simple Webcam
T2 - International Journal of Scientific Research in Computer Science and Engineering
AU - Md.T. Akhtar, S.T. Razi, K.N. Jaman, A. Azimusshan, Md.A. Sohel
PY - 2018
DA - 2018/08/31
PB - IJCSE, Indore, INDIA
SP - 18-23
IS - 4
VL - 6
SN - 2347-2693
ER -

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Abstract :
The project is designed to detect a real-life object using a simple webcam. The image captured by the webcam is to be enhanced and magnified and then is compared with similar type of image in our database to detect the type of image. The data being compared is binary string, a unique attribute is compared which has been acquired by feature extraction. The following technology can be used in face recognition system, defence system, production line or removal of defective product. We are using MATLAB to develop our project. The experiments conducted in accordance with proposed methods which are suitable for real-time surveillance system [1].

Key-Words / Index Term :
Fast Object, Moving Object, Real-life Detection, Web Cam, MATLAB, Image Processing

References :
[1]. Li Fang, School of Computer Science Nanyang Technological University, Singapore and Zhang Meng, Dunman High School Claire Chen Qian Hui River Valley High School, Singapore. “Smart Motion Detection Surveillance System”. Published by IEEE on 21 July 2009.
[2]. Yash Gupta, Samriddhi Mishra, Deepti Sharma, "Smart Surveillance System", International Journal of Computer Sciences and Engineering, Vol.6, Issue.5, pp.780-784, 2018.
[3]. David Houcque, “Introduction to Matlab for Engineering Students”, Northwestern University, 2005.
[4]. Matworks, “Getting Started with MATLAB”, Matlb Primer.
[5]. Byron S Gottfried, “Schaum`s Outline Of Programming With C”, McGraw Hill Publication, 2010.
[6]Kala Chandrashekhar L, Manasa B S, "A Study on Segmentation of Moving Objects Under Dynamic Conditions", International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.173-179, 2016.
[7]. Vikramsingh R. Parihar, Anagha P. Dhote, "A Novel Approach to Real Time Face Detection and Recognition", International Journal of Computer Sciences and Engineering, Vol.5, Issue.9, pp.62-67, 2017.

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