DocumentCode :
257388
Title :
Analysis on Background Subtraction for Street Surveillance
Author :
Zainuddin, N.A. ; Mustafah, Y.M. ; Azman, A.W. ; Rashidan, M.A. ; Aziz, N.N.A.
Author_Institution :
Int. Islamic Univ. Malaysia, Kuala Lumpur, Malaysia
fYear :
2014
fDate :
23-25 Sept. 2014
Firstpage :
236
Lastpage :
239
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.
Keywords :
computer vision; image sequences; video surveillance; background subtraction; computer vision applications; performance evaluation; public surveillance system; street surveillance; video sequences; Abstracts; Biosensors; Computational modeling; Computers; Conferences; Filtering; Kernel; GMM; KDE; Median Filtering; background subtraction; frame differencing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer and Communication Engineering (ICCCE), 2014 International Conference on
Conference_Location :
Kuala Lumpur
Type :
conf
DOI :
10.1109/ICCCE.2014.74
Filename :
7031645
Link To Document :
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