Using colour features to classify objects and people in a video surveillance network

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dc.contributor.advisorDe Jager, Gerharden_ZA
dc.contributor.advisorNicolls, Freden_ZA
dc.contributor.authorPrice, Mathewen_ZA
dc.date.accessioned2014-07-31T10:53:57Z
dc.date.available2014-07-31T10:53:57Z
dc.date.issued2004en_ZA
dc.descriptionIncludes bibliographical references (leaves 133-138).
dc.description.abstractVisual tracking of humans has proved to be an extremely challenging task for computer vision systems. One idea towards a development of these systems is the incorporation of colour. Often colour appearance of a person can provide enough information to identify an object or person in the short-term. However, the imprecise nature of colour measurements typically encountered in image processing has limited their use. This thesis presents a system which uses colour appearances of objects and people for tracking across multiple camera views in a digital video surveillance network.en_ZA
dc.identifier.apacitationPrice, M. (2004). <i>Using colour features to classify objects and people in a video surveillance network</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5121en_ZA
dc.identifier.chicagocitationPrice, Mathew. <i>"Using colour features to classify objects and people in a video surveillance network."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2004. http://hdl.handle.net/11427/5121en_ZA
dc.identifier.citationPrice, M. 2004. Using colour features to classify objects and people in a video surveillance network. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Price, Mathew AB - Visual tracking of humans has proved to be an extremely challenging task for computer vision systems. One idea towards a development of these systems is the incorporation of colour. Often colour appearance of a person can provide enough information to identify an object or person in the short-term. However, the imprecise nature of colour measurements typically encountered in image processing has limited their use. This thesis presents a system which uses colour appearances of objects and people for tracking across multiple camera views in a digital video surveillance network. DA - 2004 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2004 T1 - Using colour features to classify objects and people in a video surveillance network TI - Using colour features to classify objects and people in a video surveillance network UR - http://hdl.handle.net/11427/5121 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5121
dc.identifier.vancouvercitationPrice M. Using colour features to classify objects and people in a video surveillance network. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2004 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5121en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.titleUsing colour features to classify objects and people in a video surveillance networken_ZA
dc.typeMaster Thesis
dc.type.qualificationlevelMasters
dc.type.qualificationnameMScen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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