Simple Hardware Implementation of Motion Estimation Algorithms
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Keywords

Horn & Schunck
Lucas & Kanade
FPGA
VHDL
Movement
Derivative
Optical Flow

How to Cite

Romero, J., Verdier, D., Raffaitin, C., Procel, L. M., & Trojman, L. (2019). Simple Hardware Implementation of Motion Estimation Algorithms. ACI Avances En Ciencias E Ingenierías, 11(3), 164-175. https://doi.org/10.18272/aci.v11i3.1352

Abstract

We present in the following work a hardware implementation of the two principal optical flow methods. The work is based on the methods developed by Lucas & Kanade, and Horn & Schunck. The implementation is made by using a field programmable gate array and Hardware Description Language. To achieve a successful implementation, the algorithms were optimized. The results show the optical flow as a vector field over one frame, which enable an easy detection of the movement. The results are compared to a software implementation to insure the success of the method. The implementation is a fast implementation capable of quickly overcoming a traditional implementation in software.

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Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Copyright (c) 2019 Juan Romero, Damien Verdier, Clement Raffaitin, Luis Miguel Procel, Lionel Trojman