Cart (Loading....) | Create Account
Close category search window

Image Coprocessor: A Real-Time Approach Towards Object Tracking

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shahzad, M. ; Next Generation Intell. Networks Res. Center (nexGIN RC), Nat. Univ. of Comput. & Emerging Sci. (NUCES-FAST), Islamabad, Pakistan ; Zahid, S.

Real time object tracking finds its applications in diverse fields. An online embedded system for image tracking should be fast, accurate, robust and efficient. This paper presents a hardware based architecture and implementation of an image coprocessor on FPGA using Verilog hardware description language. The core concept is to ensure a fast and memory efficient dedicated hardware which could increase the efficiency manifolds and enhance the overall output, thereby making real time detection and tracking possible at much higher rates than achievable using C++. The design was simulated using Xilinx ISE Simulator and ModelSim. An embedded system was later on developed for complete implementation of Image Coprocessor on FPGA, using Xilinx embedded development Kit. Six modules including edge image, Bhattacharya coefficient, histograms, Epanechnikov kernel, translation and rotation have been implemented on FPGA, and a comparison has been made with their implementation in C++. The results demonstrate up to 66 times improved performance of these individual modules. Thus, an efficient image coprocessor has been developed.

Published in:

Digital Image Processing, 2009 International Conference on

Date of Conference:

7-9 March 2009

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.