@article{Romero_Verdier_Raffaitin_Procel_Trojman_2019, title={Simple Hardware Implementation of Motion Estimation Algorithms}, volume={11}, url={https://revistas.usfq.edu.ec/index.php/avances/article/view/1352}, DOI={10.18272/aci.v11i3.1352}, abstractNote={<p>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.</p>}, number={3}, journal={ACI Avances en Ciencias e Ingenierías}, author={Romero, Juan and Verdier, Damien and Raffaitin, Clement and Procel, Luis Miguel and Trojman, Lionel}, year={2019}, month={sep.}, pages={164–175} }