Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/52007
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dc.contributor.authorLee, Euston Yousheng.
dc.date.accessioned2013-04-19T04:03:45Z
dc.date.available2013-04-19T04:03:45Z
dc.date.copyright2013en_US
dc.date.issued2013
dc.identifier.urihttp://hdl.handle.net/10356/52007
dc.description.abstractPeople tracking in video have been gaining popularity in recent years for both convenience purpose and security purposes. With the recent scare of terrorist attacks, many organisations have improved their security devices. Being able to track suspicious characters to their destinations many a times can save lives. This project aims to implement a real time tracking algorithm which incorporates the latest state of the art techniques for visual tracking. It also aims to investigate its performance with respect to people in real home surveillance video.en_US
dc.format.extent36 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer visionen_US
dc.titlePeople tracking in videoen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCham Tat Jenen_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Engineering)en_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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