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Conference Paper: The design of moving objects detection system based on DM6437

TitleThe design of moving objects detection system based on DM6437
Authors
KeywordsBackground Updating
DM6437
Moving Objects
Video Surveillance
Background Subtraction
Issue Date2011
Citation
2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings, 2011, p. 4100-4103 How to Cite?
AbstractThis paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so as to figure out the moving objects. The morphological methodology and area marking are utilized for eliminating the noise. Experiment results state that the system can identify the moving objects accurately under the error permission. © 2011 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/222114

 

DC FieldValueLanguage
dc.contributor.authorYin, Zhijian-
dc.contributor.authorHe, Yunfei-
dc.contributor.authorXiong, Chunru-
dc.contributor.authorZhong, Runyang-
dc.date.accessioned2015-12-21T06:48:27Z-
dc.date.available2015-12-21T06:48:27Z-
dc.date.issued2011-
dc.identifier.citation2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings, 2011, p. 4100-4103-
dc.identifier.urihttp://hdl.handle.net/10722/222114-
dc.description.abstractThis paper deals with the video surveillance problem in static camera. The aim is to design a moving object detection system based on advanced CPU DM6437. After capturing the pictures according to the timing, the background model is established without the objects and the background information is real-time updated due to the changes of the environment. After that, background subtraction is used so as to figure out the moving objects. The morphological methodology and area marking are utilized for eliminating the noise. Experiment results state that the system can identify the moving objects accurately under the error permission. © 2011 IEEE.-
dc.languageeng-
dc.relation.ispartof2011 International Conference on Computer Science and Service System, CSSS 2011 - Proceedings-
dc.subjectBackground Updating-
dc.subjectDM6437-
dc.subjectMoving Objects-
dc.subjectVideo Surveillance-
dc.subjectBackground Subtraction-
dc.titleThe design of moving objects detection system based on DM6437-
dc.typeConference_Paper-
dc.description.natureLink_to_subscribed_fulltext-
dc.identifier.doi10.1109/CSSS.2011.5972161-
dc.identifier.scopuseid_2-s2.0-80052319756-
dc.identifier.spage4100-
dc.identifier.epage4103-

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