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Methods and systems for marker identification

  • US 10,452,916 B2
  • Filed: 09/20/2018
  • Issued: 10/22/2019
  • Est. Priority Date: 12/22/2015
  • Status: Active Grant
First Claim
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1. A system comprising:

  • a processing system comprising at least one processing device;

    a motion tracking camera, wherein the motion tracking camera detects infrared light;

    a marker, the marker configured to emit a binary pattern of infrared light pulses;

    non-transitory media that stores instructions readable by the processing system, that when executed by the processing system, cause the system to;

    identify, within a given image, a cluster of adjacent pixels corresponding to infrared light emitted from the marker;

    determine a count of how many saturated pixels are within a given identified cluster of adjacent pixels of the given image;

    determine a highest count of saturated pixels from respective counts of saturated pixels of respective given identified clusters of respective given images in a plurality of images;

    calculate a radius for a circular perimeter by at least multiplying the highest count of saturated pixels by a first factor;

    identify a first area, bounded by the circular perimeter, of a first image, of the plurality of images, encompassing a highest number of infrared light pixels within a cluster of adjacent pixels;

    for pixels within the first area, identify a first set of pixels having a highest intensity as compared to other sets of pixels in the first area, wherein the first set of pixels has a count equal to the highest count of saturated pixels;

    excluding the first set of pixels, determine a sum of infrared light intensities of the first area;

    determine respective sum of infrared light intensities for respective areas in the remaining one or more images of the plurality of images; and

    using the determined respective sum of infrared light intensities of the respective areas of respective images of the plurality of images,assign a binary value to the plurality of images.

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