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Efficient human motion detection with adaptive background for vision-based security system

Kamaru Zaman, Fadhlan Hafizhelmi and Ali, Md Hazrat and Shafie, Amir Akramin and Rizman, Zairi Ismael (2017) Efficient human motion detection with adaptive background for vision-based security system. International Journal on Advanced Science, Engineering and Information Technology, 7 (3). pp. 1026-1031. ISSN 2088-5334 E-ISSN 2460-6952

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Motion detection is very important in video surveillance system especially for video compression, human detection, and behaviour analysis. Various approaches have been used for detecting motion in a continuous video stream but for real-time video surveillance system; we need a motion detection that can provide accurate detection even in non-static background regardless of surroundings (outdoor or indoor), object speed and size, robust to camera noisy pixels or sudden change in light intensity. This is very important to ensure that the security of a monitored parameter or area is not compromised. In this paper, we propose a method for human motion detection that employs adaptive background subtraction, camera noise reduction and white pixel count threshold for real-time video streams.

Item Type: Article (Journal)
Additional Information: 5119/62825
Uncontrolled Keywords: adaptive background; motion detection; video surveillance
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Depositing User: Dr Amir Shafie
Date Deposited: 20 Mar 2018 10:51
Last Modified: 20 Mar 2018 10:51
URI: http://irep.iium.edu.my/id/eprint/62825

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