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Conference Paper: Learning multi-feature human motion patterns by automated near-optimal constrained gravitational clustering

TitleLearning multi-feature human motion patterns by automated near-optimal constrained gravitational clustering
Authors
Issue Date2011
PublisherIAPR.
Citation
The 12th IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 6-8 June 2011. In Proceedings of the 12th IAPR MVA, 2011, p. 463-466, ref. no. 14-12 How to Cite?
AbstractThis paper proposes an automated near-optimal gravitational clustering method for learning multi-feature human motion patterns (HMPs). Based on the distance distribution of all observed human trajectories in a …
Persistent Identifierhttp://hdl.handle.net/10722/153069

 

DC FieldValueLanguage
dc.contributor.authorChen, Zen_US
dc.contributor.authorYung, NHCen_US
dc.date.accessioned2012-07-16T09:55:43Z-
dc.date.available2012-07-16T09:55:43Z-
dc.date.issued2011en_US
dc.identifier.citationThe 12th IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 6-8 June 2011. In Proceedings of the 12th IAPR MVA, 2011, p. 463-466, ref. no. 14-12en_US
dc.identifier.urihttp://hdl.handle.net/10722/153069-
dc.description.abstractThis paper proposes an automated near-optimal gravitational clustering method for learning multi-feature human motion patterns (HMPs). Based on the distance distribution of all observed human trajectories in a …-
dc.languageengen_US
dc.publisherIAPR.en_US
dc.relation.ispartofProceedings of the 12th IAPR Conference on Machine Vision Applications (MVA 2011)en_US
dc.titleLearning multi-feature human motion patterns by automated near-optimal constrained gravitational clusteringen_US
dc.typeConference_Paperen_US
dc.identifier.emailChen, Z: zchen@eee.hku.hken_US
dc.identifier.emailYung, NHC: nyung@eee.hku.hk-
dc.identifier.authorityYung, NHC=rp00226en_US
dc.description.naturelink_to_OA_fulltext-
dc.identifier.hkuros201098en_US
dc.identifier.spage463en_US
dc.identifier.epage466en_US
dc.publisher.placeJapan-
dc.description.otherThe 12th IAPR Conference on Machine Vision Applications (MVA2011), Nara, Japan, 6-8 June 2011. In Proceedings of the 12th IAPR MVA, 2011, p. 463-466, ref. no. 14-12-

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