
Proceedings Paper
Hardware architecture of OFCE-HS for hardware implementationFormat | Member Price | Non-Member Price |
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Paper Abstract
Optical flow algorithm proposed by Horn and Schunck (OFCE-HS) in 1981 was the first technique and one of the
best performers for motion estimation. Attempts to implement OFCE-HS into real-time hardware have been performed
by researchers. Hardware architecture of OFCE-HS proposed by Martin et al. with full integer for all calculations is one
of the attempts. However, the hardware architecture has a significant drawback because it requires two dividers which
decrease the speed of the system, increase the use of resources and add errors in the truncation of the least significant
bits. To overcome this problem, new proposed hardware architecture of OFCE-HS is presented in this paper. With
calculations using a combination of integer and fractional arithmetic, it is possible to reduce the number of dividers and
to improve its performance. The goal of this work is to design hardware architecture of OFCE-HS which can increase the
speed of the system, lower resource utilization and achieve good precision and accuracy compared previous works.
Paper Details
Date Published: 12 January 2012
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835007 (12 January 2012); doi: 10.1117/12.920137
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
PDF: 5 pages
Proc. SPIE 8350, Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, 835007 (12 January 2012); doi: 10.1117/12.920137
Show Author Affiliations
Ruzali Rustam, Univ. Teknologi Petronas (Malaysia)
Nor Hisham Hamid, Univ. Teknologi Petronas (Malaysia)
Nor Hisham Hamid, Univ. Teknologi Petronas (Malaysia)
Fawnizu Azmadi Hussin, Univ. Teknologi Petronas (Malaysia)
Published in SPIE Proceedings Vol. 8350:
Fourth International Conference on Machine Vision (ICMV 2011): Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies
Safaa S. Mahmoud; Zhu Zeng; Yuting Li, Editor(s)
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