Development of shape pattern recognition for fpga-based embbeded object tracking system
This project presents FPGA (Field Programmable Gate Array) based solution for an embedded object tracking system. The tracking design was applied at FPGA as rich information of FPGA offers one of the powerful ideas in object tracking system. Object tracking system well-known as the system that is...
| Main Author: | |
|---|---|
| Format: | Final Year Project Report / IMRAD |
| Language: | English English |
| Published: |
Universiti Malaysia Sarawak, (UNIMAS)
2010
|
| Subjects: | |
| Online Access: | http://ir.unimas.my/id/eprint/4578/ http://ir.unimas.my/id/eprint/4578/1/Development%20of%20Shape%20Pattern%20Recognition%20for%20FPGA-Based%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/4578/7/Fauziliana%20Osman%20ft.pdf |
| _version_ | 1848835459343450112 |
|---|---|
| author | Fauziliana, Binti Osman |
| author_facet | Fauziliana, Binti Osman |
| author_sort | Fauziliana, Binti Osman |
| building | UNIMAS Institutional Repository |
| collection | Online Access |
| description | This project presents FPGA (Field Programmable Gate Array) based solution
for an embedded object tracking system. The tracking design was applied at FPGA
as rich information of FPGA offers one of the powerful ideas in object tracking
system. Object tracking system well-known as the system that is very useful in most
real application that requires object detection, for example factory camera
surveillance system. There are lots of algorithms available including the detection of
handwriting, moving people, animals and the barcode number. This project will
focus on shape detection to observe the real object image and the expected
experimental object shape image. Shapes that cover are square, circle, triangle and
etc. The black and white image will be used in the design and will be converted to
binary signals before entering the tracker process. Then the design system will be
embedded to the FPGA to confirm the shape that obtained using Quartus II Altera
software. The pixels detected represent the available of intensity within the image.
No error and correction included in the system. The system represented only fixed
image without noise and no assorted. |
| first_indexed | 2025-11-15T06:08:12Z |
| format | Final Year Project Report / IMRAD |
| id | unimas-4578 |
| institution | Universiti Malaysia Sarawak |
| institution_category | Local University |
| language | English English |
| last_indexed | 2025-11-15T06:08:12Z |
| publishDate | 2010 |
| publisher | Universiti Malaysia Sarawak, (UNIMAS) |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | unimas-45782023-08-30T03:20:34Z http://ir.unimas.my/id/eprint/4578/ Development of shape pattern recognition for fpga-based embbeded object tracking system Fauziliana, Binti Osman TJ Mechanical engineering and machinery This project presents FPGA (Field Programmable Gate Array) based solution for an embedded object tracking system. The tracking design was applied at FPGA as rich information of FPGA offers one of the powerful ideas in object tracking system. Object tracking system well-known as the system that is very useful in most real application that requires object detection, for example factory camera surveillance system. There are lots of algorithms available including the detection of handwriting, moving people, animals and the barcode number. This project will focus on shape detection to observe the real object image and the expected experimental object shape image. Shapes that cover are square, circle, triangle and etc. The black and white image will be used in the design and will be converted to binary signals before entering the tracker process. Then the design system will be embedded to the FPGA to confirm the shape that obtained using Quartus II Altera software. The pixels detected represent the available of intensity within the image. No error and correction included in the system. The system represented only fixed image without noise and no assorted. Universiti Malaysia Sarawak, (UNIMAS) 2010 Final Year Project Report / IMRAD NonPeerReviewed text en http://ir.unimas.my/id/eprint/4578/1/Development%20of%20Shape%20Pattern%20Recognition%20for%20FPGA-Based%20%2824pgs%29.pdf text en http://ir.unimas.my/id/eprint/4578/7/Fauziliana%20Osman%20ft.pdf Fauziliana, Binti Osman (2010) Development of shape pattern recognition for fpga-based embbeded object tracking system. [Final Year Project Report / IMRAD] (Unpublished) |
| spellingShingle | TJ Mechanical engineering and machinery Fauziliana, Binti Osman Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title | Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title_full | Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title_fullStr | Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title_full_unstemmed | Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title_short | Development of shape pattern recognition for fpga-based embbeded object tracking system |
| title_sort | development of shape pattern recognition for fpga-based embbeded object tracking system |
| topic | TJ Mechanical engineering and machinery |
| url | http://ir.unimas.my/id/eprint/4578/ http://ir.unimas.my/id/eprint/4578/1/Development%20of%20Shape%20Pattern%20Recognition%20for%20FPGA-Based%20%2824pgs%29.pdf http://ir.unimas.my/id/eprint/4578/7/Fauziliana%20Osman%20ft.pdf |