Simple Hardware Implementation of Motion Estimation Algorithms

Romero, Juan ^[1] ; Verdier, Damien ^[2] ; Raffaitin, Clement ^[2] ; Procel, Luis Miguel ; Trojman, Lionel ^[1]
1. [1] Universidad San Francisco de Quito
  
  Universidad San Francisco de Quito
  
  Quito, Ecuador
2. [2] National Polytechnic Institute of Toulouse
  
  National Polytechnic Institute of Toulouse
  
  Arrondissement de Toulouse, Francia
Localización: ACI Avances en Ciencias e Ingenierías, ISSN-e 2528-7788, ISSN 1390-5384, Vol. 11, Nº. 3, 2019, págs. 164-175
Idioma: inglés
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Resumen
- 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.