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Conference Paper: Real time human body tracking using wavenet

TitleReal time human body tracking using wavenet
Authors
Issue Date2004
Citation
The 6th Asian Conference on Computer Vision (ACCV 2004), Jeju, Korea, 27-30 January 2004. In Proceedings of the 6th Asian Conference on Computer Vision, 2004, v. 1, p. 91-96 How to Cite?
AbstractHuman body tracking is useful in applications like medical diagnostic, human computer interface, visual surveillance etc. In this paper, a trajectory-learning algorithm using wavenet is proposed to track human body in real time without sacrificing accuracy. Human body is located within a small searching window using color and shape as heuristic. The location and size of the searching window are estimated using the proposed wavenet-based algorithm. The effectiveness and efficiency of the proposed tracking system were tested. The results show that the proposed system can track the human body in real time under various conditions including clutter background, background with distractor, and scene with object occlusion.
Persistent Identifierhttp://hdl.handle.net/10722/137136
ISBN

 

DC FieldValueLanguage
dc.contributor.authorWong, SF-
dc.contributor.authorWong, KKY-
dc.date.accessioned2011-08-23T07:17:47Z-
dc.date.available2011-08-23T07:17:47Z-
dc.date.issued2004-
dc.identifier.citationThe 6th Asian Conference on Computer Vision (ACCV 2004), Jeju, Korea, 27-30 January 2004. In Proceedings of the 6th Asian Conference on Computer Vision, 2004, v. 1, p. 91-96-
dc.identifier.isbn89-954842-0-9-
dc.identifier.urihttp://hdl.handle.net/10722/137136-
dc.description.abstractHuman body tracking is useful in applications like medical diagnostic, human computer interface, visual surveillance etc. In this paper, a trajectory-learning algorithm using wavenet is proposed to track human body in real time without sacrificing accuracy. Human body is located within a small searching window using color and shape as heuristic. The location and size of the searching window are estimated using the proposed wavenet-based algorithm. The effectiveness and efficiency of the proposed tracking system were tested. The results show that the proposed system can track the human body in real time under various conditions including clutter background, background with distractor, and scene with object occlusion.-
dc.languageeng-
dc.relation.ispartofProceedings of the 6th Asian Conference on Computer Vision-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleReal time human body tracking using waveneten_US
dc.typeConference_Paperen_US
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=89-954842-0-9&volume=1&spage=91&epage=96&date=2004&atitle=Real+time+human+body+tracking+using+wavenet-
dc.identifier.emailWong, SF: sfwong@csis.hku.hk-
dc.identifier.emailWong, KKY: kykwong@cs.hku.hk-
dc.description.naturepostprint-
dc.identifier.hkuros85531-
dc.identifier.volume1-
dc.identifier.spage91-
dc.identifier.epage96-
dc.description.otherThe 6th Asian Conference on Computer Vision (ACCV 2004), Jeju, Korea, 27-30 January 2004. In Proceedings of the 6th Asian Conference on Computer Vision, 2004, v. 1, p. 91-96-

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