Please use this identifier to cite or link to this item: https://doi.org/10.1109/BioCAS.2013.6679700
Title: Real-time motion estimation using spatiotemporal filtering in FPGA
Authors: Orchard, G. 
Thakor, N.V. 
Etienne-Cummings, R.
Issue Date: 2013
Citation: Orchard, G.,Thakor, N.V.,Etienne-Cummings, R. (2013). Real-time motion estimation using spatiotemporal filtering in FPGA. 2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013 : 306-309. ScholarBank@NUS Repository. https://doi.org/10.1109/BioCAS.2013.6679700
Abstract: Reliable visual motion estimation is typically regarded as a difficult problem. Noise sensitivity and computational requirements often prohibit effective real-time application on mobile platforms. Despite these difficulties, biological systems reliably estimate visual motion in real-time and heavily rely on it. Here we present an FPGA implementation of a biologically inspired spatiotemporal energy model for motion estimation. The model realises 720 motion sensitive units per pixel for video of resolution 128×128 pixels at 30FPS, thus providing a computational tool for further investigation of spatiotemporal energy models. © 2013 IEEE.
Source Title: 2013 IEEE Biomedical Circuits and Systems Conference, BioCAS 2013
URI: http://scholarbank.nus.edu.sg/handle/10635/128774
ISBN: 9781479914715
DOI: 10.1109/BioCAS.2013.6679700
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