People tracking in video
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...
Main Author: | |
---|---|
Other Authors: | |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/52007 |
_version_ | 1811694009738854400 |
---|---|
author | Lee, Euston Yousheng. |
author2 | Cham Tat Jen |
author_facet | Cham Tat Jen Lee, Euston Yousheng. |
author_sort | Lee, Euston Yousheng. |
collection | NTU |
description | 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. |
first_indexed | 2024-10-01T07:00:46Z |
format | Final Year Project (FYP) |
id | ntu-10356/52007 |
institution | Nanyang Technological University |
language | English |
last_indexed | 2024-10-01T07:00:46Z |
publishDate | 2013 |
record_format | dspace |
spelling | ntu-10356/520072023-03-03T20:58:53Z People tracking in video Lee, Euston Yousheng. Cham Tat Jen School of Computer Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision 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. Bachelor of Engineering (Computer Engineering) 2013-04-19T04:03:45Z 2013-04-19T04:03:45Z 2013 2013 Final Year Project (FYP) http://hdl.handle.net/10356/52007 en Nanyang Technological University 36 p. application/pdf |
spellingShingle | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision Lee, Euston Yousheng. People tracking in video |
title | People tracking in video |
title_full | People tracking in video |
title_fullStr | People tracking in video |
title_full_unstemmed | People tracking in video |
title_short | People tracking in video |
title_sort | people tracking in video |
topic | DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision |
url | http://hdl.handle.net/10356/52007 |
work_keys_str_mv | AT leeeustonyousheng peopletrackinginvideo |