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Reseach Article

A Hardware Implementation to Compute Displacement of Moving Object in a Real Time Video

by Kota Solomon Raju, Dorothi Borgohain, Manoj Pandey
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 69 - Number 18
Year of Publication: 2013
Authors: Kota Solomon Raju, Dorothi Borgohain, Manoj Pandey
10.5120/12075-8336

Kota Solomon Raju, Dorothi Borgohain, Manoj Pandey . A Hardware Implementation to Compute Displacement of Moving Object in a Real Time Video. International Journal of Computer Applications. 69, 18 ( May 2013), 41-44. DOI=10.5120/12075-8336

@article{ 10.5120/12075-8336,
author = { Kota Solomon Raju, Dorothi Borgohain, Manoj Pandey },
title = { A Hardware Implementation to Compute Displacement of Moving Object in a Real Time Video },
journal = { International Journal of Computer Applications },
issue_date = { May 2013 },
volume = { 69 },
number = { 18 },
month = { May },
year = { 2013 },
issn = { 0975-8887 },
pages = { 41-44 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume69/number18/12075-8336/ },
doi = { 10.5120/12075-8336 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:30:39.374529+05:30
%A Kota Solomon Raju
%A Dorothi Borgohain
%A Manoj Pandey
%T A Hardware Implementation to Compute Displacement of Moving Object in a Real Time Video
%J International Journal of Computer Applications
%@ 0975-8887
%V 69
%N 18
%P 41-44
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper presents the implementation of FPGA based real time object tracking system that is targeted to Spartan-6 IVK board. The presented work combines both hardware and software flow where the complex parts of the algorithm such as computing displacement is designed to HW modules. Other part of the algorithm such as video data fetching, window based weight calculation is targeted to software. In our work, we are using standard video format having resolution of 1280x720. The main idea of this work is to accelerate the performance of the object detection system by partitioning the algorithm between dedicated hardware IP core and software.

References
  1. Alper Yilmaz, Omar Javed, Mubarak Shah, "Object Tracking- A Survey", ACM Computing Surveys, vol. 38, No. 4, Article 13, pp. 145-190, December 2006
  2. Xiaohe Li, Taiyi Zhang, Xiaodong Shen and Jiancheng Sunb, "Object tracking using an adaptive Kalman filter combined with mean shift" UNC-Chapel Hill, TR 95-041,vol. 40, No. 7,pp 234-246, July 24, 2006
  3. D. Comaniciu, V. Ramesh, P. Meer, "Kernel-based object tracking," IEEE Trans. On Pattern Analysis and Machine Intelligence, pp. 564-575, Dec 2003.
  4. D. Comaniciu and P. Meer, "Mean shift: A robust approach toward feature space analysis," IEEE Trans. Pattern Anal. Machine Intel. , vol. 24, no. 5, pp. 603–619,Dec 2002.
  5. Benjamin Gorry, Zezhi Chen, Kevin Hammond, Andy Wallace, and Greg Michaelson, "Using Mean-Shift Tracking Algorithms for Real-Time Tracking of Moving Images on an Autonomous Vehicle Testbed Platform" ,International Conference on Intelligent Robotics and Manufacturing Automation, Venice, Italy, 2007 , World Academy of Science, Engineering and Technology (PWASET) , pp-45-48, November 23-25, 2007
  6. Tao Liu; Xiao-ping Cheng, "Improved mean shift algorithm for moving object tracking," Computer Engineering and Technology (ICCET), 2010 2nd International Conference on , vol. 1, no. , pp. V1-575,V1-578, 16-18 April 2010
  7. Kota Solomon Raju, Gargi Baruah, Manipati Rajesham and Palash Phukan, " Computing Displacement of Moving Object in a Real Time Video using EDK", International Conference on Computing, Communications, Systems And Applications(ICCCSA) Hyderabad, 30th-31st March 2012,pp 76-79; ISBN: 978-81-921580-8-2
  8. Spartan-6 Industrial Video Processing Kit – EDK Reference Design Tutorial, www. em. avnet. com/spartan6video.
Index Terms

Computer Science
Information Sciences

Keywords

Xilinx EDK Bhattacharya-Coefficient real time object tracking