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Foreground segmentation-based human detection with shadow removal

Hafiz, Fadhlan and Shafie, Amir Akramin and Khalifa, Othman Omran and Ali, Md. Hazrat (2010) Foreground segmentation-based human detection with shadow removal. In: International Conference on Computer and Communication Engineering (ICCCE 2010), 11-13 May 2010, Kuala Lumpur.

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Recent research in video surveillance system has shown an increasing focus on creating reliable systems utilizing non-computationally expensive technique for observing humans' appearance, movements and activities, thus providing analytical information for advanced human behaviour analysis and realistic human modelling. In order for the system to function, it requires robust method for detecting human form from a given input of video streams. In this paper, we present a human detection technique suitable for video surveillance. The technique we propose includes background subtraction, foreground segmentation, and shadow removal. The proposed detection technique will first try to extract all foreground objects from the background and then moving shadows will be eliminated by a shadow detection algorithm. Finally, we perform a morphological reconstruction algorithm to recover the distorted foreground objects after shadow removal process. We define certain features that describe human and match them with the final objects obtained from earlier processing. The experimental result proves its validity and accuracy in various fixed outdoor and indoor video scenes.

Item Type: Conference or Workshop Item (Full Paper)
Additional Information: 5119/3196 (ISBN: 9781424462353)
Uncontrolled Keywords: Human detection, Background subtraction, Foreground segmentation, Gaussian mixture model, Shadow removal, Video surveillance
Subjects: T Technology > TJ Mechanical engineering and machinery > TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Amir Shafie
Date Deposited: 07 Oct 2011 16:21
Last Modified: 13 Nov 2011 16:32
URI: http://irep.iium.edu.my/id/eprint/3196

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