Distributed Video Tracking

This project is conducted to test out the distributed video tracking system in surveillance monitoring. The main objective of this project is to develop an algorithm to track a target based on the target parameters across multiple camera in an integrated embedded camera platform. For monitoring and...

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Main Author: Phon, Thamiet Saukeaw
Format: Final Year Project
Language: English
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-utpedia.19210 /
Published: 2018
Online Access: http://utpedia.utp.edu.my/19210/1/Dissertation%20thamiet%20ver7.pdf
http://utpedia.utp.edu.my/19210/
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recordtype eprints
spelling utp-utpedia.192102019-06-20T08:31:56Z http://utpedia.utp.edu.my/19210/ Distributed Video Tracking Phon, Thamiet Saukeaw This project is conducted to test out the distributed video tracking system in surveillance monitoring. The main objective of this project is to develop an algorithm to track a target based on the target parameters across multiple camera in an integrated embedded camera platform. For monitoring and security purpose, there are a lot of camera throughout the world. The ratio of an operator and thousands of cameras are deemed ineffective and there are possible of recklessness. In this project, we will come out with an effective way surveillance and monitoring through algorithm for video tracking. There are three main phases for the algorithm for video tracking: object recognition, data transmission, object tracking. The focus of the project will be more on object recognition based on colour and shape features. The first Raspberry Pi will send the data feature of colour and shape to the second or next Raspberry Pi and it will track based on the data received. As for research methodology, proper planning is very important to make sure the project is of good quality and to finish on time. As a conclusion, we hope this project will be useful in surveillance monitoring by implementing the distributed video tracking across the country or the world. 2018-09 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/19210/1/Dissertation%20thamiet%20ver7.pdf Phon, Thamiet Saukeaw (2018) Distributed Video Tracking. UNSPECIFIED.
institution Universiti Teknologi Petronas
collection UTPedia
language English
description This project is conducted to test out the distributed video tracking system in surveillance monitoring. The main objective of this project is to develop an algorithm to track a target based on the target parameters across multiple camera in an integrated embedded camera platform. For monitoring and security purpose, there are a lot of camera throughout the world. The ratio of an operator and thousands of cameras are deemed ineffective and there are possible of recklessness. In this project, we will come out with an effective way surveillance and monitoring through algorithm for video tracking. There are three main phases for the algorithm for video tracking: object recognition, data transmission, object tracking. The focus of the project will be more on object recognition based on colour and shape features. The first Raspberry Pi will send the data feature of colour and shape to the second or next Raspberry Pi and it will track based on the data received. As for research methodology, proper planning is very important to make sure the project is of good quality and to finish on time. As a conclusion, we hope this project will be useful in surveillance monitoring by implementing the distributed video tracking across the country or the world.
format Final Year Project
author Phon, Thamiet Saukeaw
spellingShingle Phon, Thamiet Saukeaw
Distributed Video Tracking
author_sort Phon, Thamiet Saukeaw
title Distributed Video Tracking
title_short Distributed Video Tracking
title_full Distributed Video Tracking
title_fullStr Distributed Video Tracking
title_full_unstemmed Distributed Video Tracking
title_sort distributed video tracking
publishDate 2018
url http://utpedia.utp.edu.my/19210/1/Dissertation%20thamiet%20ver7.pdf
http://utpedia.utp.edu.my/19210/
_version_ 1741195464380776448
score 11.62408

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