Embedded System Object Tracking Using Webcam

The extensive availability of hardware devices and intensive expansion their computing power have been the catalyst behind the rapid development of computer vision. In this project, an implementation of object tracking in an inexpensive and small embedded system platform is presented. The tracking s...

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Main Author: Yan, Ng Jia
Format: Final Year Project
Language:English
Published: Universiti Teknologi PETRONAS 2014
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Online Access:http://utpedia.utp.edu.my/14240/1/Dissertation%20.pdf
http://utpedia.utp.edu.my/14240/
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spelling my-utp-utpedia.142402017-01-25T09:37:43Z http://utpedia.utp.edu.my/14240/ Embedded System Object Tracking Using Webcam Yan, Ng Jia TK Electrical engineering. Electronics Nuclear engineering The extensive availability of hardware devices and intensive expansion their computing power have been the catalyst behind the rapid development of computer vision. In this project, an implementation of object tracking in an inexpensive and small embedded system platform is presented. The tracking system comprised of two Raspberry Pis with two different cameras used: a webcam and Raspicam module. Three communication connection models of the system are discussed in this paper for establishing communication between the two Raspberry Pis. Data sharing between these two hardware platforms is the proposed solution for resolving the limited processing power each platform possesses. The SimpleCV, an open source framework that provides free computer vision libraries that is useful for object detection and tracking algorithm development. Universiti Teknologi PETRONAS 2014-05 Final Year Project NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/14240/1/Dissertation%20.pdf Yan, Ng Jia (2014) Embedded System Object Tracking Using Webcam. Universiti Teknologi PETRONAS. (Unpublished)
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Electronic and Digitized Intellectual Asset
url_provider http://utpedia.utp.edu.my/
language English
topic TK Electrical engineering. Electronics Nuclear engineering
spellingShingle TK Electrical engineering. Electronics Nuclear engineering
Yan, Ng Jia
Embedded System Object Tracking Using Webcam
description The extensive availability of hardware devices and intensive expansion their computing power have been the catalyst behind the rapid development of computer vision. In this project, an implementation of object tracking in an inexpensive and small embedded system platform is presented. The tracking system comprised of two Raspberry Pis with two different cameras used: a webcam and Raspicam module. Three communication connection models of the system are discussed in this paper for establishing communication between the two Raspberry Pis. Data sharing between these two hardware platforms is the proposed solution for resolving the limited processing power each platform possesses. The SimpleCV, an open source framework that provides free computer vision libraries that is useful for object detection and tracking algorithm development.
format Final Year Project
author Yan, Ng Jia
author_facet Yan, Ng Jia
author_sort Yan, Ng Jia
title Embedded System Object Tracking Using Webcam
title_short Embedded System Object Tracking Using Webcam
title_full Embedded System Object Tracking Using Webcam
title_fullStr Embedded System Object Tracking Using Webcam
title_full_unstemmed Embedded System Object Tracking Using Webcam
title_sort embedded system object tracking using webcam
publisher Universiti Teknologi PETRONAS
publishDate 2014
url http://utpedia.utp.edu.my/14240/1/Dissertation%20.pdf
http://utpedia.utp.edu.my/14240/
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score 13.160551