METHODS AND SYSTEMS FOR AUTOMATICALLY AND ACCURATELY DETECTING HUMAN BODIES IN VIDEOS AND/OR IMAGES

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United States of America Patent

SERIAL NO

15226555

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Abstract

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The present invention discloses methods and systems for detecting a human body in an image using a machine learning model. The method includes selecting one or more candidate regions from one or more regions in an image based on a pre-defined threshold. Then, a body is detected in a candidate region of the one or more candidate regions, based on a set of pair-wise constraints. The body detection further includes detection of various body parts. Thereafter, a score is computed for each detected body part and a final score for the candidate region is computed, based on the scores of the detected body parts.

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INTELLIVISION TECHNOLOGIES CORP6203 SAN IGNACIO AVENUE SAN JOSE CA 95119

International Classification(s)

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  • 2016 Application Filing Year
  • G06T Class
  • 11416 Applications Filed
  • 7909 Patents Issued To-Date
  • 69.28 % Issued To-Date
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Inventor(s)

Inventor Name Address # of filed Patents Total Citations
Gope, Chandan Derwood, US 37 807
Gupta, Gagan Delhi, IN 37 165
Jindal, Nitin Faridabad, IN 16 73
Nathan, Vaidhi San Jose, US 33 1393

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  • 3 Citation Count
  • G06T Class
  • 16.26 % this patent is cited more than
  • 8 Age
Citation count rangeNumber of patents cited in rangeNumber of patents cited in various citation count ranges1485831123912924101 - 1011 - 2021 - 3031 - 4041 - 5051 - 6061 - 7071 - 80050100150200250300350400450500550600650

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