An optimal design of moving objects tracking algorithm on FPGA

This paper presents an optimal design and implementation of hardware system units for tracking moving objects on FPGA. Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking a...

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Main Authors: Elkhatib, Lina Noaman, Hussin, Fawnizu Azmadi, Xia, Likun, Sebastian , Patrick
Format: Conference or Workshop Item
Published: 2010
Subjects:
Online Access:http://eprints.utp.edu.my/8801/1/06306112.pdf
http://dx.doi.org/10.1109/ICIAS.2012.6306112
http://eprints.utp.edu.my/8801/
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spelling my.utp.eprints.88012013-01-16T02:07:59Z An optimal design of moving objects tracking algorithm on FPGA Elkhatib, Lina Noaman Hussin, Fawnizu Azmadi Xia, Likun Sebastian , Patrick QA75 Electronic computers. Computer science This paper presents an optimal design and implementation of hardware system units for tracking moving objects on FPGA. Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. By implementing the proposed design with pipelining and parallelism, the number of clock cycles required fo calculate the adaptive threshold over 30 frames has reduced from 23 × cycles to 4.3 × cycles. Additionally, optimal logic elements utilization has been achieved through the design. 2010-06-15 Conference or Workshop Item PeerReviewed application/pdf http://eprints.utp.edu.my/8801/1/06306112.pdf http://dx.doi.org/10.1109/ICIAS.2012.6306112 Elkhatib, Lina Noaman and Hussin, Fawnizu Azmadi and Xia, Likun and Sebastian , Patrick (2010) An optimal design of moving objects tracking algorithm on FPGA. In: International Conference on Intelligent and Advanced Systems (ICIAS 2010), 15-17 June, 2010, Kuala Lumpur, Malaysia. http://eprints.utp.edu.my/8801/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Elkhatib, Lina Noaman
Hussin, Fawnizu Azmadi
Xia, Likun
Sebastian , Patrick
An optimal design of moving objects tracking algorithm on FPGA
description This paper presents an optimal design and implementation of hardware system units for tracking moving objects on FPGA. Designs outline dataflow between different frequency domains using pipelining and FIFOs as buffers. The system implements a large amount of operations in order to apply a tracking algorithm called Adaptive Hybrid Difference. Two core units were built to implement the algorithm on FPGA, the adaptive threshold unit and the binary image builder unit. By implementing the proposed design with pipelining and parallelism, the number of clock cycles required fo calculate the adaptive threshold over 30 frames has reduced from 23 × cycles to 4.3 × cycles. Additionally, optimal logic elements utilization has been achieved through the design.
format Conference or Workshop Item
author Elkhatib, Lina Noaman
Hussin, Fawnizu Azmadi
Xia, Likun
Sebastian , Patrick
author_facet Elkhatib, Lina Noaman
Hussin, Fawnizu Azmadi
Xia, Likun
Sebastian , Patrick
author_sort Elkhatib, Lina Noaman
title An optimal design of moving objects tracking algorithm on FPGA
title_short An optimal design of moving objects tracking algorithm on FPGA
title_full An optimal design of moving objects tracking algorithm on FPGA
title_fullStr An optimal design of moving objects tracking algorithm on FPGA
title_full_unstemmed An optimal design of moving objects tracking algorithm on FPGA
title_sort optimal design of moving objects tracking algorithm on fpga
publishDate 2010
url http://eprints.utp.edu.my/8801/1/06306112.pdf
http://dx.doi.org/10.1109/ICIAS.2012.6306112
http://eprints.utp.edu.my/8801/
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score 13.18916