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dc.contributor.authorJohn, Gladis
dc.contributor.authorWest, Geoff
dc.contributor.authorLazarescu, Mihai
dc.contributor.editorChing-Yung Lin and ingemar Cox
dc.date.accessioned2017-01-30T10:30:13Z
dc.date.available2017-01-30T10:30:13Z
dc.date.created2014-10-28T02:23:21Z
dc.date.issued2009
dc.identifier.citationJohn, G. and West, G. and Lazarescu, M. 2009. Measures for the evaluation of segmentation methods used in model based people tracking methods, in Lin, C.-Y. and Cox, I. (ed), ICME, Jun 28-30 2009, pp. 646-649. New York, NY, USA: IEEE Press.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/3325
dc.identifier.doi10.1109/ICME.2009.5202579
dc.description.abstract

This paper proposes a number of methods to evaluate features in the context of people tracking in complex environments. Such environments will have varying lighting conditions (the subject of this paper), occlusions by other people and objects, as well as a varying number of people. The paper concentrates on edge features because of their insensitivity to changes in illumination and camera movements. It assumes that some form of model-based processing will be used for recognition and tracking so as to be able to deal with partially visible people. This requires the adaptive choice of what parts of people need to be tracked using the best combination of features. A number of measures are proposed to quantify edge performance that are illustrated for a number of edge detectors on a number of video sequences that have different properties or contexts.

dc.publisherIEEE Press Piscataway,
dc.titleMeasures for the evaluation of segmentation methods used in model based people tracking methods
dc.typeConference Paper
dcterms.source.startPage646
dcterms.source.endPage649
dcterms.source.titleProceedings of the 2009 IEEE international conference on Multimedia and Expo
dcterms.source.seriesProceedings of the 2009 IEEE international conference on Multimedia and Expo
dcterms.source.isbn9781424442904
dcterms.source.conferenceICME 2009
dcterms.source.conference-start-dateJun 28 2009
dcterms.source.conferencelocationNew York, NY, USA
dcterms.source.placeUSA
curtin.departmentDepartment of Computing
curtin.accessStatusFulltext not available


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