Flexible Architecture for Three Classes of Optical Flow Extraction Algorithms

Abstract : Recent findings have shown that several visual perceptual tasks such as 3D navigation and visual attention could use optical flow as a key step in their complex computing models and mechanisms for visual perception of motion and dynamic scene analysis. We have been performing experimental studies to gain understanding of the general principles in the optical flow computation under different approaches so as to establish efficient implementation techniques of embedded systems able to perform high speed motion estimation. Based on these studies, a custom parallel hardware architecture for three classes of optical flow estimation algorithms has been proposed and mapped into a digital implementation. A flexible Field Programmable Gate Array (FPGA) implementation is presented wich allow to compute the optical flow at a rate of 50 200x200 grey level images with low resource utilizatio
Type de document :
Communication dans un congrès
Reconfigurable Computing and FPGAs, International Conference on, Dec 2008, Cancun, Mexico. pp.13-18, 2008, 〈10.1109/ReConFig.2008.61〉
Liste complète des métadonnées

https://hal.inria.fr/inria-00331663
Contributeur : Mauricio Cerda <>
Soumis le : vendredi 17 octobre 2008 - 11:38:45
Dernière modification le : jeudi 11 janvier 2018 - 06:19:48

Identifiants

Collections

Citation

Hugo Barron-Zambrano, César Torres-Huitzil, Mauricio Cerda. Flexible Architecture for Three Classes of Optical Flow Extraction Algorithms. Reconfigurable Computing and FPGAs, International Conference on, Dec 2008, Cancun, Mexico. pp.13-18, 2008, 〈10.1109/ReConFig.2008.61〉. 〈inria-00331663〉

Partager

Métriques

Consultations de la notice

180