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Conference Paper: Reliable Bayes classification using multiple description segments and its applications in scene analysis

TitleReliable Bayes classification using multiple description segments and its applications in scene analysis
Authors
Yung, Nelson HCJones, Kevin
Issue Date1989
PublisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xml
Citation
Proceedings Of Spie - The International Society For Optical Engineering, 1989, v. 1199 pt 2, p. 810-820 How to Cite?
DOI: http://dx.doi.org/10.1117/12.970091
AbstractThis paper presents the theory and realisation of the Multiple Description Segment (MDS) technique used in a commercially available integrated vision environment. It was applied to a sequence of scenes of an office corridor. The preliminary results of the classification have shown confident decision by the classifier on well defined objects and objects with high complexity and noise interference. Objects that are very similar (but different in functionality) were also recognised correctly. The merits and pitfalls of the technique and the future direction of development will be discussed.
Persistent Identifierhttp://hdl.handle.net/10722/158060
ISSN
0277-786X
2023 SCImago Journal Rankings: 0.152

 

DC FieldValueLanguage
dc.contributor.authorYung, Nelson HCen_US
dc.contributor.authorJones, Kevinen_US
dc.date.accessioned2012-08-08T08:57:55Z-
dc.date.available2012-08-08T08:57:55Z-
dc.date.issued1989en_US
dc.identifier.citationProceedings Of Spie - The International Society For Optical Engineering, 1989, v. 1199 pt 2, p. 810-820en_US
dc.identifier.issn0277-786Xen_US
dc.identifier.urihttp://hdl.handle.net/10722/158060-
dc.description.abstractThis paper presents the theory and realisation of the Multiple Description Segment (MDS) technique used in a commercially available integrated vision environment. It was applied to a sequence of scenes of an office corridor. The preliminary results of the classification have shown confident decision by the classifier on well defined objects and objects with high complexity and noise interference. Objects that are very similar (but different in functionality) were also recognised correctly. The merits and pitfalls of the technique and the future direction of development will be discussed.en_US
dc.languageengen_US
dc.publisherS P I E - International Society for Optical Engineering. The Journal's web site is located at http://spie.org/x1848.xmlen_US
dc.relation.ispartofProceedings of SPIE - The International Society for Optical Engineeringen_US
dc.titleReliable Bayes classification using multiple description segments and its applications in scene analysisen_US
dc.typeConference_Paperen_US
dc.identifier.emailYung, Nelson HC:nyung@eee.hku.hken_US
dc.identifier.authorityYung, Nelson HC=rp00226en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.doi10.1117/12.970091-
dc.identifier.scopuseid_2-s2.0-0024922561en_US
dc.identifier.volume1199 pt 2en_US
dc.identifier.spage810en_US
dc.identifier.epage820en_US
dc.publisher.placeUnited Statesen_US
dc.identifier.scopusauthoridYung, Nelson HC=7003473369en_US
dc.identifier.scopusauthoridJones, Kevin=16197682100en_US
dc.identifier.issnl0277-786X-

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