Concealed item detection with image series in eulerian and lagrangian frame of reference
Abstract:
A method to analyze video includes obtaining an image series in an Eulerian or Lagrangian frame of reference, selecting one or more specific regions of interest and extracting to remove irrelevant motion and/or noise, decomposing the extracted images into a plurality of frequency bands and extracting a pixel value time series corresponding to the values of a pixel in each spatial frequency band, magnifying the pixel value time series to obtain a magnified pixel value time series, adding the magnified pixel value time series to the pixel value time series to generate a superimposed pixel value time series, and applying a spatial reconstruction to the superimposed pixel value time series to generate an output image series. A system to perform this method is also provided.
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