The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Jun. 29, 2021

Filed:

May. 30, 2018
Applicant:

Amazon Technologies, Inc., Reno, NV (US);

Inventors:

Davide Modolo, Seattle, WA (US);

Hao Chen, Kirkland, WA (US);

Enrica Maria Filippi, Seattle, WA (US);

Stephen Gould, Seattle, WA (US);

Camille Claire Le Men, Seattle, WA (US);

Andrea Olgiati, Gilroy, CA (US);

Assignee:

Amazon Technologies, Inc., Seattle, WA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 7/18 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00295 (2013.01); G06K 9/00369 (2013.01); G06K 9/00765 (2013.01); G06K 9/00771 (2013.01); H04N 7/181 (2013.01);
Abstract

People can be tracked across multiple segments of video data, which can correspond to different scenes in a single video file, or multiple video streams or feeds. An instance of video data can be broken up into segments that can each be analyzed to determine faces and bodies represented therein. The bodies can be analyzed across frames of the segment to determine body tracklets that are consistent across the segment. Associations of faces and bodies can be determined based using relative distances and/or spatial relationships. A subsequent clustering of these associations is performed to attempt to determine consistent associations that correspond to unique individuals. Unique identifiers are determined for each person represented in one or more segments of an instance of video data. Such an approach enables individual representations to be correlated across multiple instances.


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