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Characterizing motion patterns of one or more agents from spatiotemporal data

  • US 9,740,984 B2
  • Filed: 08/21/2012
  • Issued: 08/22/2017
  • Est. Priority Date: 08/21/2012
  • Status: Active Grant
First Claim
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1. A computer-implemented method to characterize motion patterns of a first group of players engaged in a sporting activity, without requiring spatial information pertaining to any player, the computer-implemented method comprising:

  • receiving spatial and temporal information pertaining to a physical object in a physical playing field of the sporting activity, the sporting activity having a scoring scheme based on manipulation of the physical object in the physical playing field;

    partitioning the spatial and temporal information into a plurality of spatiotemporal segments by operation of one or more computer processors, wherein each spatiotemporal segment comprises spatial and temporal information representing associated positions of the physical object in the physical playing field;

    generating one or more representations of one or more sets of segments of the plurality of spatiotemporal segments, based on one or more specified criteria; and

    computing, based on each of the one or more representations, a respective performance metric of the first group of players in the sporting activity, whereafter the respective performance metric is output and characterizes motion patterns of the first group of players based on spatial information pertaining to the physical object in the physical playing field and without requiring spatial information pertaining to any player.

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