Probability estimation for people detection

dc.contributor.authorSun, Qingjie
dc.contributor.authorWu, Enhua
dc.contributor.editorSkala, Václav
dc.date.accessioned2013-04-11T11:39:30Z
dc.date.available2013-04-11T11:39:30Z
dc.date.issued2003
dc.description.abstractThis paper presents a probability method for detecting people in a static image. We simplify people as a torso and four limbs. The torso is fitted by a quadrangle, and each limb is fitted by one or two quadrangles depending on its pose. In order to find people, we should try to find a combination of quadrangles that must satisfy some geometric and topological constrains. Firstly, we try to detect and fit rectangle regions in the image, then we search some combinations of rectangles under certain constrains. After we get a combination, we calculate its probability of being people. If the probability is above threshold, we adjust the vertexes of rectangles so as to get a compact people model.en
dc.format8 s.cs
dc.format.mimetypeapplication/pdf
dc.format.mimetypeapplication/pdf
dc.identifier.citationJournal of WSCG. 2003, vol. 11, no. 1-3.en
dc.identifier.issn1213-6972
dc.identifier.urihttp://wscg.zcu.cz/wscg2003/Papers_2003/E07.pdf
dc.identifier.urihttp://hdl.handle.net/11025/1644
dc.language.isoenen
dc.publisherUNION Agency – Science Presscs
dc.relation.ispartofseriesJournal of WSCGen
dc.rights© UNION Agency – Science Presscs
dc.rights.accessopenAccessen
dc.subjectdetekce osobcs
dc.subjectsegmentace obrazucs
dc.subject.translatedpeople detectionen
dc.subject.translatedimage segmentationen
dc.titleProbability estimation for people detectionen
dc.typečlánekcs
dc.typearticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen

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