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dc.contributor.authorChiu, Cheng-Hsiangen_US
dc.contributor.authorHung, Pang-Chanen_US
dc.contributor.authorHuang, Hsing-Luen_US
dc.contributor.authorChuang, Jen-Huien_US
dc.date.accessioned2014-12-08T15:29:48Z-
dc.date.available2014-12-08T15:29:48Z-
dc.date.issued2010en_US
dc.identifier.isbn978-1-4244-5046-6en_US
dc.identifier.urihttp://hdl.handle.net/11536/21393-
dc.description.abstractIn this paper, image processing techniques are applied to the analysis of near-infrared videos. The goal is to detect human activities in the videos. For detecting human activities, we implement the Gaussian mixture modeling (GMM) to construct background model and to perform foreground detection. Additionally, we pay attention to commonly used sensing lighting equipments used in nighttime environment because of its illumination and shadowing phenomena. Accordingly, a two-mode GMM is proposed which separately constructs background GMM for different lighting conditions and switches GMM modes by event detection. In order to cope with excessive shadowing phenomenon, an efficient way of searching footholds by using scan-lines is proposed to remove human shadows. The proposed approach will provide reasonable bounding boxes information of human regions as detection results which will be very helpful for a nighttime surveillance system.en_US
dc.language.isoen_USen_US
dc.subjectNear-infrareden_US
dc.subjectGaussian mixture modelingen_US
dc.subjecttwo-mode GMMen_US
dc.subjectsensing lighting equipmentsen_US
dc.titleObject Tracking Under Sensing Lighting Equipmentsen_US
dc.typeArticleen_US
dc.identifier.journalICIEA 2010: PROCEEDINGS OF THE 5TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, VOL 4en_US
dc.citation.spage574en_US
dc.citation.epage577en_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000293666500111-
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