Foreground segmentation-based human detection with shadow removal

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 r...

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Main Authors:	Hafiz, Fadhlan, Shafie, Amir Akramin, Khalifa, Othman Omran, Ali, Md. Hazrat
Format:	Conference or Workshop Item
Language:	English
Published:	2010
Subjects:	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
Online Access:	http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/1/B6666d01.pdf

id	iium-3196
recordtype	eprints
spelling	iium-31962011-11-13T08:32:33Z http://irep.iium.edu.my/3196/ Foreground segmentation-based human detection with shadow removal Hafiz, Fadhlan Shafie, Amir Akramin Khalifa, Othman Omran Ali, Md. Hazrat TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) 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. 2010 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/3196/1/B6666d01.pdf 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. http://ieeexplore.ieee.org/search/srchabstract.jsp?tp=&arnumber=5556763&queryText%3DForeground+Segmentation-Based+Human+Detection+With+Shadow+Removal%26openedRefinements%3D*%26filter%3DAND%28NOT%284283010803%29%29%26searchField%3DSearch+All doi:10.1109/ICCCE.2010.5556763
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General)
spellingShingle	TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) Hafiz, Fadhlan Shafie, Amir Akramin Khalifa, Othman Omran Ali, Md. Hazrat Foreground segmentation-based human detection with shadow removal
description	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.
format	Conference or Workshop Item
author	Hafiz, Fadhlan Shafie, Amir Akramin Khalifa, Othman Omran Ali, Md. Hazrat
author_facet	Hafiz, Fadhlan Shafie, Amir Akramin Khalifa, Othman Omran Ali, Md. Hazrat
author_sort	Hafiz, Fadhlan
title	Foreground segmentation-based human detection with shadow removal
title_short	Foreground segmentation-based human detection with shadow removal
title_full	Foreground segmentation-based human detection with shadow removal
title_fullStr	Foreground segmentation-based human detection with shadow removal
title_full_unstemmed	Foreground segmentation-based human detection with shadow removal
title_sort	foreground segmentation-based human detection with shadow removal
publishDate	2010
url	http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/1/B6666d01.pdf
first_indexed	2023-09-18T20:10:55Z
last_indexed	2023-09-18T20:10:55Z
_version_	1777407471487287296

Foreground segmentation-based human detection with shadow removal

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