Open AccessClassifying Transverse Motion in Time-of-Flight Range Imaging
Author(s) -
Lee Streeter,
Michael J. Cree
Publication year - 2018
Publication title -
research commons (the university of waikato)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.1364/3d.2018.3w2g.4
Subject(s) - robustness (evolution) , autocorrelation , computer science , artificial intelligence , computer vision , time of flight , transverse plane , motion (physics) , range (aeronautics) , algorithm , physics , mathematics , optics , engineering , statistics , aerospace engineering , biochemistry , chemistry , structural engineering , gene
Classification of step motion in time-of-flight imaging using the stochastic oscillator and autocorrelation is proposed. Machine learning algorithms correctly identify the step location in 65–75% of trials, with apparent good noise robustness.
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