OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA
FPGA based Object tracking implementation is one of the most recent video surveillance applications in embedded systems. In general, FPGA implementation is more efficient than general purpose computers in attaining high throughput due to its parallelism and execution speed. The system need to be...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2013
|
Subjects: | |
Online Access: | http://utpedia.utp.edu.my/15302/1/2013%20-Optimized%20Architecture%20Design%20And%20Implementation%20Of%20Object%20Tracking%20Algorithm%20On%20FPGA.pdf http://utpedia.utp.edu.my/15302/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-utp-utpedia.15302 |
---|---|
record_format |
eprints |
spelling |
my-utp-utpedia.153022017-01-25T09:39:21Z http://utpedia.utp.edu.my/15302/ OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA ABDELFATAH EL-KHATIB, LINA NOAMAN TK Electrical engineering. Electronics Nuclear engineering FPGA based Object tracking implementation is one of the most recent video surveillance applications in embedded systems. In general, FPGA implementation is more efficient than general purpose computers in attaining high throughput due to its parallelism and execution speed. The system need to be designed on a standard frame rate in such a way to achieve optimal performance in real time environment. Optimal design of a system is dependent on minimizing the cost, area (device utility) and power while achieving the required speed. Past research work that investigated object tracking systems' implementation on FPGA achieved a significantly high throughput but have shown high device utilization. This research work aims at optimizing the device utilization under real time constraints. The Adaptive Hybrid Difference algorithm (AHD), which is used to detect the moving objects, was chosen to be implemented on FPGA due to its computation ability and efficiency with regard to hardware implementation. AHD can work at various lighting conditions automatically by determining the adaptive threshold in every period of time. 2013-01 Thesis NonPeerReviewed application/pdf en http://utpedia.utp.edu.my/15302/1/2013%20-Optimized%20Architecture%20Design%20And%20Implementation%20Of%20Object%20Tracking%20Algorithm%20On%20FPGA.pdf ABDELFATAH EL-KHATIB, LINA NOAMAN (2013) OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA. Masters thesis, Universiti Teknologi PETRONAS. |
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 ABDELFATAH EL-KHATIB, LINA NOAMAN OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
description |
FPGA based Object tracking implementation is one of the most recent video
surveillance applications in embedded systems. In general, FPGA implementation is
more efficient than general purpose computers in attaining high throughput due to its
parallelism and execution speed. The system need to be designed on a standard frame
rate in such a way to achieve optimal performance in real time environment. Optimal
design of a system is dependent on minimizing the cost, area (device utility) and
power while achieving the required speed. Past research work that investigated object
tracking systems' implementation on FPGA achieved a significantly high throughput
but have shown high device utilization. This research work aims at optimizing the
device utilization under real time constraints. The Adaptive Hybrid Difference
algorithm (AHD), which is used to detect the moving objects, was chosen to be
implemented on FPGA due to its computation ability and efficiency with regard to
hardware implementation. AHD can work at various lighting conditions automatically
by determining the adaptive threshold in every period of time. |
format |
Thesis |
author |
ABDELFATAH EL-KHATIB, LINA NOAMAN |
author_facet |
ABDELFATAH EL-KHATIB, LINA NOAMAN |
author_sort |
ABDELFATAH EL-KHATIB, LINA NOAMAN |
title |
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
title_short |
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
title_full |
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
title_fullStr |
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
title_full_unstemmed |
OPTIMIZED ARCHITECTURE DESIGN AND IMPLEMENTATION OF OBJECT TRACKING ALGORITHM ON FPGA |
title_sort |
optimized architecture design and implementation of object tracking algorithm on fpga |
publishDate |
2013 |
url |
http://utpedia.utp.edu.my/15302/1/2013%20-Optimized%20Architecture%20Design%20And%20Implementation%20Of%20Object%20Tracking%20Algorithm%20On%20FPGA.pdf http://utpedia.utp.edu.my/15302/ |
_version_ |
1739832114222727168 |
score |
13.160551 |