Hardware architecture of OFCE-HS for hardware implementation

Rustam, R. and Hamid, N.H. and Hussin, F.A. (2012) Hardware architecture of OFCE-HS for hardware implementation. In: UNSPECIFIED.

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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. © 2012 Copyright Society of Photo-Optical Instrumentation Engineers (SPIE).

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 0; Conference of 4th International Conference on Machine Vision: Computer Vision and Image Analysis; Pattern Recognition and Basic Technologies, ICMV 2011 ; Conference Date: 9 December 2011 Through 10 December 2011; Conference Code:88614
Uncontrolled Keywords: FPGAs; Hardware architecture; hardware architecture/implementation; Hardware implementations; Least significant bits; OFCE-HS; Optical flow algorithm; Real-time hardware; Resource utilizations, Computer architecture; Computer vision; Hardware; Motion estimation; Optical flows, Computer hardware
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 15:51
Last Modified: 09 Nov 2023 15:51
URI: https://khub.utp.edu.my/scholars/id/eprint/3062

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