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Methods and systems for identifying background in video data using geometric primitives

  • US 9,916,668 B2
  • Filed: 05/19/2015
  • Issued: 03/13/2018
  • Est. Priority Date: 05/19/2015
  • Status: Active Grant
First Claim
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1. A method comprising:

  • obtaining video data comprising at least one frame of pixel data and depicting at least a portion of a user;

    processing the video data with at least one persona identification module to generate at least one persona probability map, the at least one persona identification module comprising a geometric primitive module for generating a first persona probability map at least in part by;

    detecting at least one geometric primitive depicted within the video data, wherein the at least one detected geometric primitive is a type of geometric primitive included in a set of geometric-primitive models;

    identifying a respective region within the video data associated with each of the at least one detected geometric primitives; and

    assigning the respective regions an increased background-probability in the first persona probability map; and

    outputting a persona image depicting at least the portion of the user by extracting pixels from the at least one frame of pixel data based on the at least one persona probability map.

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