Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/57323
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dc.contributor.authorSuepphong Chernbumroong Kitti Puritaten_US
dc.contributor.authorPradorn Sureephongen_US
dc.date.accessioned2018-09-05T03:38:35Z-
dc.date.available2018-09-05T03:38:35Z-
dc.date.issued2017-06-01en_US
dc.identifier.issn18196608en_US
dc.identifier.other2-s2.0-85020553876en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85020553876&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/57323-
dc.description.abstract© 2006-2017 Asian Research Publishing Network (ARPN). All rights reserved. The research analyst the traffic video. For the first step of analysis the traffic data in Thailand, real time segmentation algorithms of moving regions in image sequences is an important step in counting systems including automated video surveillance. Background subtraction of video sequences is mainly regards as a solved problem. In this paper not only helps better understand to which type of videos each method suits best for video surveillance of Thailand but also compared of basic background subtraction methods.en_US
dc.subjectEngineeringen_US
dc.titleMeasuring of background modeling and subtraction algorithms on moving object detection in video sequences in Chiangmaien_US
dc.typeJournalen_US
article.title.sourcetitleARPN Journal of Engineering and Applied Sciencesen_US
article.volume12en_US
article.stream.affiliationsChiang Mai Universityen_US
Appears in Collections:CMUL: Journal Articles

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