Abstract
This work presents an FPGA implementation of a highly parallel architecture for color motion estimation. It implements the well-known Lucas & Kanade algorithm with a multiscale extension for an accurate computation. Our system fulfills real-time requirements estimating 32 frames per second with 512x512 resolution. It presents our architecture based on fine pipelines and the benchmark of the alternatives analyzing the accuracy and the hardware resource requirements.
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Barranco, F., Tomasi, M., Diaz, J., Ros, E. (2011). Hierarchical Optical Flow Estimation Architecture Using Color Cues. In: Koch, A., Krishnamurthy, R., McAllister, J., Woods, R., El-Ghazawi, T. (eds) Reconfigurable Computing: Architectures, Tools and Applications. ARC 2011. Lecture Notes in Computer Science, vol 6578. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19475-7_28
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DOI: https://doi.org/10.1007/978-3-642-19475-7_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19474-0
Online ISBN: 978-3-642-19475-7
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