Hierarchical optical flow estimation architecture using color cues

Authors:
Francisco Barranco;Matteo Tomasi;Javier Diaz;Eduardo Ros
Affiliations:
Dept. Technology and Computer Architecture, University of Granada, Granada, Spain;Dept. Technology and Computer Architecture, University of Granada, Granada, Spain;Dept. Technology and Computer Architecture, University of Granada, Granada, Spain;Dept. Technology and Computer Architecture, University of Granada, Granada, Spain
Venue:
ARC'11 Proceedings of the 7th international conference on Reconfigurable computing: architectures, tools and applications
Year:
2011

Citing 4
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Abstract

This work presents an FPGA implementation of a highly parallel architecture for color motion estimation. It implements the wellknown Lucas & Kanade algorithm with a multiscale extension for an accurate computation. Our system fulfills real-time requirements estimating 32 frames per second with 512×512 resolution. It presents our architecture based on fine pipelines and the benchmark of the alternatives analyzing the accuracy and the hardware resource requirements.