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...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
| Published: |
INSIGHT - Indonesian Society for Knowledge and Human Development
2017
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| Subjects: | |
| Online Access: | 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 http://irep.iium.edu.my/62825/ http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1329 |
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| Summary: | 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. |
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