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Conference Paper: Detection based low frame rate human tracking

TitleDetection based low frame rate human tracking
Authors
KeywordsAmbiguous tracklets
Data association
Long time occlusion
Low frame rate tracking
Issue Date2010
PublisherIEEE, Computer Society.
Citation
The 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532 How to Cite?
AbstractTracking by association of low frame rate detection responses is not trivial, as motion is less continuous and hence ambiguous. The problem becomes more challenging when occlusion occurs. To solve this problem, we firstly propose a robust data association method that explicitly differentiates ambiguous tracklets that are likely to introduce incorrect linking from other tracklets, and deal with them effectively. Secondly, we solve the long-time occlusion problem by detecting inter-track relationship and performing track split and merge according to appearance similarity and occlusion order. Experiment on a challenging human surveillance dataset shows the effectiveness of the proposed method. © 2010 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/137721
ISSN
References

 

DC FieldValueLanguage
dc.contributor.authorWang, Len_HK
dc.contributor.authorYung, NHCen_HK
dc.date.accessioned2011-08-26T14:32:26Z-
dc.date.available2011-08-26T14:32:26Z-
dc.date.issued2010en_HK
dc.identifier.citationThe 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532en_HK
dc.identifier.issn1051-4651en_HK
dc.identifier.urihttp://hdl.handle.net/10722/137721-
dc.description.abstractTracking by association of low frame rate detection responses is not trivial, as motion is less continuous and hence ambiguous. The problem becomes more challenging when occlusion occurs. To solve this problem, we firstly propose a robust data association method that explicitly differentiates ambiguous tracklets that are likely to introduce incorrect linking from other tracklets, and deal with them effectively. Secondly, we solve the long-time occlusion problem by detecting inter-track relationship and performing track split and merge according to appearance similarity and occlusion order. Experiment on a challenging human surveillance dataset shows the effectiveness of the proposed method. © 2010 IEEE.en_HK
dc.languageengen_US
dc.publisherIEEE, Computer Society.en_US
dc.relation.ispartofProceedings of the International Conference on Pattern Recognition, ICPR 2010en_HK
dc.rightsInternational Conference on Pattern Recognition. Copyright © IEEE, Computer Society.-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rights©2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectAmbiguous trackletsen_HK
dc.subjectData associationen_HK
dc.subjectLong time occlusionen_HK
dc.subjectLow frame rate trackingen_HK
dc.titleDetection based low frame rate human trackingen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1051-4651&volume=&spage=3529&epage=3532&date=2010&atitle=Detection+based+low+frame+rate+human+trackingen_US
dc.identifier.emailYung, NHC:nyung@eee.hku.hken_HK
dc.identifier.authorityYung, NHC=rp00226en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/ICPR.2010.861en_HK
dc.identifier.scopuseid_2-s2.0-78149488624en_HK
dc.identifier.hkuros190983en_US
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78149488624&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.spage3529en_HK
dc.identifier.epage3532en_HK
dc.publisher.placeUnited Statesen_HK
dc.description.otherThe 20th International Conference on Pattern Recognition (ICPR 2010), Istanbul, Turkey, 23-26 August 2010. In Proceedings of 20th ICPR, 2010, p. 3529-3532-
dc.identifier.scopusauthoridWang, L=35728037200en_HK
dc.identifier.scopusauthoridYung, NHC=7003473369en_HK

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