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https://hdl.handle.net/10356/52007
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DC Field | Value | Language |
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dc.contributor.author | Lee, Euston Yousheng. | |
dc.date.accessioned | 2013-04-19T04:03:45Z | |
dc.date.available | 2013-04-19T04:03:45Z | |
dc.date.copyright | 2013 | en_US |
dc.date.issued | 2013 | |
dc.identifier.uri | http://hdl.handle.net/10356/52007 | |
dc.description.abstract | People 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.extent | 36 p. | en_US |
dc.language.iso | en | en_US |
dc.rights | Nanyang Technological University | |
dc.subject | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision | en_US |
dc.title | People tracking in video | en_US |
dc.type | Final Year Project (FYP) | en_US |
dc.contributor.supervisor | Cham Tat Jen | en_US |
dc.contributor.school | School of Computer Engineering | en_US |
dc.description.degree | Bachelor of Engineering (Computer Engineering) | en_US |
item.grantfulltext | restricted | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | SCSE Student Reports (FYP/IA/PA/PI) |
Files in This Item:
File | Description | Size | Format | |
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SCE12-0036.pdf Restricted Access | Main article | 1.64 MB | Adobe PDF | View/Open |
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