Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/53759
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dc.contributor.authorZhang, Peng
dc.date.accessioned2013-06-07T04:01:50Z
dc.date.available2013-06-07T04:01:50Z
dc.date.copyright2011en_US
dc.date.issued2011
dc.identifier.urihttp://hdl.handle.net/10356/53759
dc.description.abstractVisual surveillance has become a ubiquitous feature of the modern day life. It is used in connection with the detection and tracking to quickly find and resolve crimes, traffic accidents/violations, gathering of data on the presence and actions of people for various purposes. Growing demands for public security have necessitated the need for accurate and efficient techniques for pedestrian detection and tracking in complex dynamic surveillance environments.en_US
dc.format.extent187 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Computer science and engineeringen_US
dc.titlePedestrian detection and tracking with application in visual surveillanceen_US
dc.typeThesis
dc.contributor.supervisorSabu Emmanuelen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeDoctor of Philosophy (SCE)en_US
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