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Conference Paper: Human detection in a challenging situation

TitleHuman detection in a challenging situation
Authors
KeywordsEm Algorithm
Human Detection
Klt Features
Low Resolution
Issue Date2009
PublisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349
Citation
Proceedings - International Conference On Image Processing, Icip, 2009, p. 2561-2564 How to Cite?
AbstractAlthough there have been a lot of studies on human detection in recent years, most of them have some particular requirements. However, some videos may have complicated scenes with low resolution and include both moving and standing people. The paper aims for individual detection under the challenging situation. An EM (Expectation-Maximum) based method has been developed to detect individuals in a common outdoor scenario. A new cluster model is employed in the method for human detection. The method can work well even for low-resolution images. Both moving and standing people can be detected as long as they show some occasional movements, which is satisfied in most cases. Some promising results have been presented and analyzed in a scene with around 100 people. ©2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/158632
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorHou, YLen_US
dc.contributor.authorPang, GKHen_US
dc.date.accessioned2012-08-08T09:00:34Z-
dc.date.available2012-08-08T09:00:34Z-
dc.date.issued2009en_US
dc.identifier.citationProceedings - International Conference On Image Processing, Icip, 2009, p. 2561-2564en_US
dc.identifier.issn1522-4880en_US
dc.identifier.urihttp://hdl.handle.net/10722/158632-
dc.description.abstractAlthough there have been a lot of studies on human detection in recent years, most of them have some particular requirements. However, some videos may have complicated scenes with low resolution and include both moving and standing people. The paper aims for individual detection under the challenging situation. An EM (Expectation-Maximum) based method has been developed to detect individuals in a common outdoor scenario. A new cluster model is employed in the method for human detection. The method can work well even for low-resolution images. Both moving and standing people can be detected as long as they show some occasional movements, which is satisfied in most cases. Some promising results have been presented and analyzed in a scene with around 100 people. ©2009 IEEE.en_US
dc.languageengen_US
dc.publisherI E E E. The Journal's web site is located at http://ieeexplore.ieee.org/xpl/conhome.jsp?punumber=1000349en_US
dc.relation.ispartofProceedings - International Conference on Image Processing, ICIPen_US
dc.subjectEm Algorithmen_US
dc.subjectHuman Detectionen_US
dc.subjectKlt Featuresen_US
dc.subjectLow Resolutionen_US
dc.titleHuman detection in a challenging situationen_US
dc.typeConference_Paperen_US
dc.identifier.emailPang, GKH:gpang@eee.hku.hken_US
dc.identifier.authorityPang, GKH=rp00162en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1109/ICIP.2009.5414005en_US
dc.identifier.scopuseid_2-s2.0-77951966125en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-77951966125&selection=ref&src=s&origin=recordpageen_US
dc.identifier.spage2561en_US
dc.identifier.epage2564en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridHou, YL=25651509000en_US
dc.identifier.scopusauthoridPang, GKH=7103393283en_US

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