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:
Oct. 23, 2018

Filed:

Sep. 02, 2016
Applicant:

Miovision Technologies Incorporated, Kitchener, CA;

Inventors:

Nicholas Miller, Kitchener, CA;

Akshaya K. Mishra, Kitchener, CA;

Justin A. Eichel, Waterloo, CA;

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/48 (2006.01); G06K 9/62 (2006.01); G06T 7/00 (2017.01); G06T 7/20 (2017.01); G06K 9/32 (2006.01);
U.S. Cl.
CPC ...
G06K 9/00785 (2013.01); G06K 9/00771 (2013.01); G06K 9/481 (2013.01); G06K 9/623 (2013.01); G06T 7/004 (2013.01); G06T 7/0024 (2013.01); G06T 7/0034 (2013.01); G06T 7/2033 (2013.01); G06T 7/2093 (2013.01); G06K 2009/3291 (2013.01); G06T 2207/10016 (2013.01); G06T 2207/20081 (2013.01); G06T 2207/30252 (2013.01);
Abstract

A system and method are provided for mapping spatial and temporal measurements of motion constrained objects in a scene, e.g., vehicles. The method comprises determining a location parameter, and/or other interesting properties, for each of a plurality of objects at a plurality of points over time; generating a vector field over location and time using the location parameters, to specify the motion of each object over time; deriving measurements for each object using velocities from the vector field for that object, as the object moves through the scene over time; and outputting both individual and aggregate object and object property flow for the plurality of objects. Combining the generated map with a network graph and/or network model can provide network flow insights useful for historic event analysis, network flow monitoring, and planning purposes.


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