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Hardware architecture of OFCE-HS for hardware implementation

Authors: Ruzali Rustam; Nor Hisham Hamid; Fawnizu Azmadi Hussin;

Hardware architecture of OFCE-HS for hardware implementation

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.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Top 10%
Average
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