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...
| Main Authors: | , , , |
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| Format: | Proceeding Paper |
| Language: | English |
| Published: |
2010
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| Subjects: | |
| Online Access: | http://irep.iium.edu.my/3196/ http://irep.iium.edu.my/3196/1/B6666d01.pdf |
| _version_ | 1848776111920513024 |
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| 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 |
| building | IIUM Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-14T14:24:54Z |
| format | Proceeding Paper |
| id | iium-3196 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T14:24:54Z |
| publishDate | 2010 |
| recordtype | eprints |
| repository_type | Digital Repository |
| 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 Proceeding Paper 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 |
| 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 |
| title | 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_short | Foreground segmentation-based human detection with shadow removal |
| title_sort | foreground segmentation-based human detection with shadow removal |
| topic | TJ210.2 Mechanical devices and figures. Automata. Ingenious mechanism. Robots (General) |
| 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 |