Efficient human motion detection with adaptive background for vision-based security system
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 tha...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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INSIGHT - Indonesian Society for Knowledge and Human Development
2017
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| Online Access: | http://irep.iium.edu.my/62825/ http://irep.iium.edu.my/62825/1/62825_Efficient%20human%20motion%20detection%20with%20adaptive_article.pdf http://irep.iium.edu.my/62825/2/62825_Efficient%20human%20motion%20detection%20with%20adaptive_scopus.pdf |
| _version_ | 1848785915168686080 |
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| author | Kamaru Zaman, Fadhlan Hafizhelmi Ali, Md Hazrat Shafie, Amir Akramin Rizman, Zairi Ismael |
| author_facet | Kamaru Zaman, Fadhlan Hafizhelmi Ali, Md Hazrat Shafie, Amir Akramin Rizman, Zairi Ismael |
| author_sort | Kamaru Zaman, Fadhlan Hafizhelmi |
| building | IIUM Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-14T17:00:43Z |
| format | Article |
| id | iium-62825 |
| institution | International Islamic University Malaysia |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-14T17:00:43Z |
| publishDate | 2017 |
| publisher | INSIGHT - Indonesian Society for Knowledge and Human Development |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | iium-628252018-03-20T02:51:23Z http://irep.iium.edu.my/62825/ Efficient human motion detection with adaptive background for vision-based security system Kamaru Zaman, Fadhlan Hafizhelmi Ali, Md Hazrat Shafie, Amir Akramin Rizman, Zairi Ismael TA Engineering (General). Civil engineering (General) 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. INSIGHT - Indonesian Society for Knowledge and Human Development 2017 Article PeerReviewed application/pdf en http://irep.iium.edu.my/62825/1/62825_Efficient%20human%20motion%20detection%20with%20adaptive_article.pdf application/pdf en http://irep.iium.edu.my/62825/2/62825_Efficient%20human%20motion%20detection%20with%20adaptive_scopus.pdf 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 http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1329 10.18517/ijaseit.7.3.1329 |
| spellingShingle | TA Engineering (General). Civil engineering (General) Kamaru Zaman, Fadhlan Hafizhelmi Ali, Md Hazrat Shafie, Amir Akramin Rizman, Zairi Ismael Efficient human motion detection with adaptive background for vision-based security system |
| title | Efficient human motion detection with adaptive background for vision-based security system |
| title_full | Efficient human motion detection with adaptive background for vision-based security system |
| title_fullStr | Efficient human motion detection with adaptive background for vision-based security system |
| title_full_unstemmed | Efficient human motion detection with adaptive background for vision-based security system |
| title_short | Efficient human motion detection with adaptive background for vision-based security system |
| title_sort | efficient human motion detection with adaptive background for vision-based security system |
| topic | TA Engineering (General). Civil engineering (General) |
| url | http://irep.iium.edu.my/62825/ http://irep.iium.edu.my/62825/ http://irep.iium.edu.my/62825/ http://irep.iium.edu.my/62825/1/62825_Efficient%20human%20motion%20detection%20with%20adaptive_article.pdf http://irep.iium.edu.my/62825/2/62825_Efficient%20human%20motion%20detection%20with%20adaptive_scopus.pdf |