Analysis on background subtraction for street surveillance

Zainuddin, N. Afiqah and Mohd Mustafah, Yasir and Azman, Amelia Wong and Rashidan, M. Ariff and A. Aziz, Nor Nadirah (2014) Analysis on background subtraction for street surveillance. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur.

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Abstract

Background subtraction is a well-known technique used in computer vision applications. However, in public surveillance system, the utilization of background subtraction still new and far from being solved. Insufficient analysis of the background subtraction algorithms made the situation getting worse. The analysis of the commonly-used algorithms is presented in this paper. Experiments are conducted to quantitatively evaluate the performance of the algorithms by using three video sequences. The more suitable algorithm for various conditions is expected to be presented as the results in this paper.

Item Type:	Conference or Workshop Item (Invited Papers)
Additional Information:	5107/41595 978-1-4799-7635-5/14 $31.00 © 2014 IEEE DOI 10.1109/ICCCE.2014.74
Uncontrolled Keywords:	background subtraction, frame differencing, GMM, KDE, Median Filtering
Subjects:	T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering
Depositing User:	Dr Yasir Mohd Mustafah
Date Deposited:	17 Feb 2015 10:00
Last Modified:	20 Sep 2017 09:41
URI:	http://irep.iium.edu.my/id/eprint/41595

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