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Design and implementation of embedded vision-based tracking system using FPGA-SoC

Master of Science in Embedded Systems Design Engineering

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Bibliographic Details
Main Author: Saif Najim, Ismail
Other Authors: Muataz Hameed Salih, Al Doori, Dr.
Format: Dissertation
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2017
Subjects:
Embedded computer systems
Field programmable gate arrays
Tracking system
Embedded vision
Embedded system
Multiple objects tracking
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72707
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spelling my.unimap-727072023-02-16T09:25:59Z Design and implementation of embedded vision-based tracking system using FPGA-SoC Saif Najim, Ismail Muataz Hameed Salih, Al Doori, Dr. Embedded computer systems Field programmable gate arrays Tracking system Embedded vision Embedded system Multiple objects tracking Master of Science in Embedded Systems Design Engineering An implemented vision based tracking system has become an important application of embedded in the field of vision and surveillance systems. Object tracking is a fundamental component of embedded vision that is very beneficial in several applications such as unmanned vehicles, surveillance, automated traffic control, biomedical image analysis and intelligent robots. That is why many of researchers have been suggested different embedded vision tracking approaches. However, some of these studies suffer from numerous problems have been manipulated such as many camera motion, abrupt changes in the appearance patterns of both the object and the scene, therefore object tracking is a challenging problem. This project addressing a significant issue namely multiple objects tracking. One of significant problems that are faced the researchers is multiple objects tracking which is addressed in this project. Therefore, this project is designing and implementing an embedded vision based for multiple object (color) tracking system using FPGA-SoC. The proposed method has adopted a passive tracking vision system based on platform DE1-SoC and D5M camera. Every frame captured by the camera is processed to detect the targeted object using color based approach. The evolution of proposed method have been done based on ten experiments for two different objects (red color and blue color). As a results, the passive tracking embedded system have been tracked multi objects in different direction vision based on several angles measurements. The tracking distance of multiple objects (colors) was reached up to 30 meter for sized 15×15 cm object shape. The project is presented a smooth performance because of the DE1-SoC has the capability to carry out tasks in parallel and at a high frequency up to 1.6 GHz. The resources total of logic elements (LEs) were used in this project 9076 elements. 2017 2021-11-05T03:39:22Z 2021-11-05T03:39:22Z Dissertation http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72707 en Universiti Malaysia Perlis (UniMAP) Universiti Malaysia Perlis (UniMAP) School of Computer and Communication Engineering
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Embedded computer systems
Field programmable gate arrays
Tracking system
Embedded vision
Embedded system
Multiple objects tracking
spellingShingle Embedded computer systems
Field programmable gate arrays
Tracking system
Embedded vision
Embedded system
Multiple objects tracking
Saif Najim, Ismail
Design and implementation of embedded vision-based tracking system using FPGA-SoC
description Master of Science in Embedded Systems Design Engineering
author2 Muataz Hameed Salih, Al Doori, Dr.
author_facet Muataz Hameed Salih, Al Doori, Dr.
Saif Najim, Ismail
format Dissertation
author Saif Najim, Ismail
author_sort Saif Najim, Ismail
title Design and implementation of embedded vision-based tracking system using FPGA-SoC
title_short Design and implementation of embedded vision-based tracking system using FPGA-SoC
title_full Design and implementation of embedded vision-based tracking system using FPGA-SoC
title_fullStr Design and implementation of embedded vision-based tracking system using FPGA-SoC
title_full_unstemmed Design and implementation of embedded vision-based tracking system using FPGA-SoC
title_sort design and implementation of embedded vision-based tracking system using fpga-soc
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2017
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/72707
_version_ 1772813062056706048
score 13.214268

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