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:
Nov. 08, 2016

Filed:

Sep. 24, 2015
Applicant:

Google Inc., Mountain View, CA (US);

Inventors:

Jason N. Laska, San Francisco, CA (US);

Gregory R. Nelson, San Bruno, CA (US);

Greg Duffy, San Francisco, CA (US);

Hiro Mitsuji, San Francisco, CA (US);

Cameron Hill, San Francisco, CA (US);

Martin Davidsson, Redwood City, CA (US);

Michael D. Montalbo, Menlo Park, CA (US);

Tung Yuen Wan, Burlingame, CA (US);

Assignee:

GOOGLE INC., Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); H04N 21/218 (2011.01); H04N 21/442 (2011.01); H04N 5/262 (2006.01); H04N 5/232 (2006.01); G06F 3/0484 (2013.01); G06F 3/0488 (2013.01); G06T 7/20 (2006.01); G06K 9/20 (2006.01); H04N 7/18 (2006.01); G06K 9/62 (2006.01); H04N 5/14 (2006.01); G08B 13/196 (2006.01); H04N 21/239 (2011.01);
U.S. Cl.
CPC ...
G06K 9/00771 (2013.01); G06F 3/0488 (2013.01); G06F 3/04842 (2013.01); G06K 9/00288 (2013.01); G06K 9/00711 (2013.01); G06K 9/00718 (2013.01); G06K 9/00744 (2013.01); G06K 9/00979 (2013.01); G06K 9/2081 (2013.01); G06K 9/6227 (2013.01); G06K 9/6267 (2013.01); G06T 7/20 (2013.01); G06T 7/2033 (2013.01); G08B 13/19608 (2013.01); H04N 5/144 (2013.01); H04N 5/145 (2013.01); H04N 5/23203 (2013.01); H04N 5/23245 (2013.01); H04N 5/23293 (2013.01); H04N 5/23296 (2013.01); H04N 5/2628 (2013.01); H04N 7/181 (2013.01); H04N 21/2181 (2013.01); H04N 21/239 (2013.01); H04N 21/44231 (2013.01); G06K 9/628 (2013.01); G06K 9/6276 (2013.01); G06K 9/6279 (2013.01); G06K 2009/00738 (2013.01); G06T 2207/10016 (2013.01); H04N 7/18 (2013.01);
Abstract

A computing system obtains a respective motion vector for each of a series of motion event candidates in real-time as said each motion event candidate is detected in a live video stream. In response to receiving the respective motion vector for each of the series of motion event candidates, the computing system determines a spatial relationship between the respective motion vector of said each motion event candidate to one or more existing clusters established based on a plurality of previously processed motion vectors, and in accordance with a determination that the respective motion vector of a first motion event candidate of the series of motion event candidates falls within a respective range of at least a first existing cluster of the one or more existing clusters, assigns the first motion event candidate to at least a first event category associated with the first existing cluster.


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