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|Title:||Real-time motion estimation using spatiotemporal filtering in FPGA||Authors:||Orchard, G.
|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|
|Appears in Collections:||Staff Publications|
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