Ir al menú de navegación principal Ir al contenido principal Ir al pie de página del sitio
ACI Avances en Ciencias e Ingenierías

SECCIÓN C: INGENIERÍAS

Vol. 11 Núm. 3 (2019)

Simple Hardware Implementation of Motion Estimation Algorithms

DOI
https://doi.org/10.18272/aci.v11i3.1352
Enviado
enero 15, 2019
Publicado
2019-09-25

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.

viewed = 485 times

Citas

  1. H. A. Mallot, Computational vision: information processing in perception and visual behaviour. MIT Press, 2000.
  2. W. K. Pratt, Digital image processing: PIKS Scientific inside, vol. 4. Wiley-interscience Hoboken, New Jersey, 2007.
  3. K. Mikolajczyk and C. Schmid, "A performance evaluation of local descriptors," IEEE Trans. Pattern Anal. Mach. Intell., 2005.
  4. K. Mikolajczyk et al., "A comparison of affine region detectors," Int. J. Comput. Vis., 2005.
  5. D. G. Lowe, "Distinctive image features from scale-invariant keypoints," Int. J. Comput. Vis., vol. 60, no. 2, pp. 91-110, 2004.
  6. M.-K. Hu, "Visual pattern recognition by moment invariants," IRE Trans. Inf. theory, vol. 8, no. 2, pp. 179-187, 1962.
  7. D. Peleshko, M. Peleshko, N. Kustra, and I. Izonin, "Analysis of invariant moments in tasks image processing," in 2011 11th International Conference The Experience of Designing and Application of CAD Systems in Microelectronics (CADSM), 2011.
  8. A. Buades, B. Coll, and J.-M. Morel, "A review of image denoising algorithms, with a new one," Multiscale Model. Simul., vol. 4, no. 2, pp. 490-530, 2005.
  9. A. Buades, B. Coll, and J.-M. Morel, "A non-local algorithm for image denoising," in Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, 2005, vol. 2, pp. 60-65.

Artículos más leídos del mismo autor/a