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

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TitleLearning multi-feature human motion patterns by automated near-optimal constrained gravitational clustering
AuthorsChen, Z
Yung, NHC
Issue Date2011
PublisherIAPR.
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. 14-12 [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 …
DC Field
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dc.contributor.authorChen, Z
dc.contributor.authorYung, NHC
dc.date.accessioned2012-07-16T09:55:43Z
dc.date.available2012-07-16T09:55:43Z
dc.date.issued2011
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.description.naturelink_to_OA_fulltext
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
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. 14-12 [How to Cite?]
dc.identifier.epage466
dc.identifier.hkuros201098
dc.identifier.spage463
dc.identifier.urihttp://hdl.handle.net/10722/153069
dc.languageeng
dc.publisherIAPR.
dc.publisher.placeJapan
dc.relation.ispartofProceedings of the 12th IAPR Conference on Machine Vision Applications (MVA 2011)
dc.titleLearning multi-feature human motion patterns by automated near-optimal constrained gravitational clustering
dc.typeConference_Paper