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dc.creatorChristodoulidis, A.en
dc.creatorDelibasis, K. K.en
dc.creatorMaglogiannis, I.en
dc.date.accessioned2015-11-23T10:24:43Z
dc.date.available2015-11-23T10:24:43Z
dc.date.issued2012
dc.identifier10.1145/2413097.2413099
dc.identifier.isbn9781450313001
dc.identifier.urihttp://hdl.handle.net/11615/26683
dc.description.abstractThe automated human behavior modeling is highly desired in the context of an assistive environment. In this paper, we describe a software video processing and analysis system to assist the near real time detection of human activity. The video data are acquired indoors from fixed cameras in the living environment. The proposed system uses image-processing techniques to segment the human figure from the background, suppress the appearance of its shadow and detect the path and velocity of its motion. Detail performance measurements of the proposed algorithm are given in terms of execution time. Initial results are presented for a small number of video sequences.en
dc.source.urihttp://www.scopus.com/inward/record.url?eid=2-s2.0-84871955775&partnerID=40&md5=3068283003677cef278e6449c768f47f
dc.subjectBackground subtractionen
dc.subjectHuman activity detectionen
dc.subjectShadow suppressionen
dc.subjectVideo processingen
dc.subjectAnalysis systemen
dc.subjectAssistiveen
dc.subjectExecution timeen
dc.subjectFixed camerasen
dc.subjectHuman activitiesen
dc.subjectHuman behavior modelingen
dc.subjectHuman silhouetteen
dc.subjectHuman-activity detectionen
dc.subjectIndoor environmenten
dc.subjectLiving environmenten
dc.subjectMovement detectionen
dc.subjectNear-real timeen
dc.subjectPerformance measurementsen
dc.subjectSystem useen
dc.subjectVideo dataen
dc.subjectVideo sequencesen
dc.subjectCamerasen
dc.subjectImage segmentationen
dc.subjectVideo recordingen
dc.subjectVideo signal processingen
dc.titleNear real-time human silhouette and movement detection in indoor environments using fixed camerasen
dc.typeconferenceItemen


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