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Adaptive background reconstruction for street surveillance

Zainuddin, N. Afiqah and Mohd Mustafah, Yasir and Shafie, Amir Akramin and Rashidan, M. Ariff (2014) Adaptive background reconstruction for street surveillance. In: International Conference on Computer and Communication Engineering (ICCCE 2014), 23rd – 25th September 2014, Sunway Putra Hotel, Kuala Lumpur. (Unpublished)

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In recent years, adaptive background reconstruction works have found interest in many researchers. However, the existing algorithms that have been proposed by other researchers still in the early stage of development and many aspects need to be improved. In this paper, an adaptive background reconstruction is presented. Past pixel observation is used. The proposed algorithm also has eliminated the need of the pre-training of non-moving objects in the background. The proposed algorithm is capable of reconstructing the background with moving objects in video sequence. Experimental results show that the proposed algorithms are able to reconstruct the background correctly and handle illumination and adverse weather that modifies the background.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 5107/41589
Uncontrolled Keywords: adaptive background reconstruction, background subtraction, mode filtering, frame differencing
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: 16 Feb 2015 17:50
Last Modified: 19 Sep 2017 17:49
URI: http://irep.iium.edu.my/id/eprint/41589

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