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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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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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 (Unpublished) |
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TK Electrical engineering. Electronics Nuclear engineering Yan, Ng Jia Embedded System Object Tracking Using Webcam |
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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. |
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Final Year Project |
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Yan, Ng Jia |
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Yan, Ng Jia |
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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 |
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Embedded System Object Tracking Using Webcam |
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Embedded System Object Tracking Using Webcam |
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embedded system object tracking using webcam |
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Universiti Teknologi PETRONAS |
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2014 |
url |
http://utpedia.utp.edu.my/14240/1/Dissertation%20.pdf http://utpedia.utp.edu.my/14240/ |
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