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dc.contributor.authorKao, Hung-Mingen_US
dc.contributor.authorRen, Hsuanen_US
dc.contributor.authorLee, Chao-Shingen_US
dc.contributor.authorChen, Yen-Liangen_US
dc.contributor.authorLin, Yen-Shuoen_US
dc.contributor.authorSu, Yengen_US
dc.date.accessioned2014-12-08T15:34:46Z-
dc.date.available2014-12-08T15:34:46Z-
dc.date.issued2013-10-01en_US
dc.identifier.issn1017-0839en_US
dc.identifier.urihttp://dx.doi.org/10.3319/TAO.2013.04.29.01(T)en_US
dc.identifier.urihttp://hdl.handle.net/11536/23665-
dc.description.abstractWe developed an automatic debris flow warning system in this study. The system uses a fixed video camera mounted over mountainous streams with a high risk for debris flows. The focus of this study is to develop an automatic algorithm for detecting debris flows with a low computational effort which can facilitate real-time implementation. The algorithm is based on a moving object detection technique to detect debris flow by comparing among video frames. Background subtraction is the kernel of the algorithm to reduce the computational effort, but non-rigid properties and color similarity of the object and the background color introduces some difficulties. Therefore, we used several spatial filtering approaches to increase the performance of the background subtraction. To increase the accuracy entropy is used with histogram analysis to identify whether a debris flow occurred. The modified background subtraction approach using spatial filtering and entropy determination is adopted to overcome the error in moving detection caused by non-rigid and similarities in color properties. The results of this study show that the approach described here can improve performance and also reduce the computational effort.en_US
dc.language.isoen_USen_US
dc.subjectLandslideen_US
dc.subjectDebris flowen_US
dc.subjectWarming systemen_US
dc.subjectRemote sensingen_US
dc.subjectCameraen_US
dc.subjectVideoen_US
dc.subjectSpatial filteren_US
dc.subjectEntropy determinationen_US
dc.titleMonitoring Debris Flows Using Spatial Filtering and Entropy Determination Approachesen_US
dc.typeArticleen_US
dc.identifier.doi10.3319/TAO.2013.04.29.01(T)en_US
dc.identifier.journalTERRESTRIAL ATMOSPHERIC AND OCEANIC SCIENCESen_US
dc.citation.volume24en_US
dc.citation.issue5en_US
dc.citation.spage773en_US
dc.citation.epage791en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000329895000001-
dc.citation.woscount0-
Appears in Collections:Articles