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:
Aug. 13, 2019

Filed:

May. 22, 2017
Applicant:

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

Inventors:

Mashhour Solh, San Jose, CA (US);

Lelin Zhang, San Jose, CA (US);

Jinglun Gao, Milpitas, CA (US);

Assignee:

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

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04N 7/18 (2006.01); G08C 23/04 (2006.01); G08B 13/194 (2006.01); H04N 5/33 (2006.01); G08B 13/18 (2006.01);
U.S. Cl.
CPC ...
G08B 13/194 (2013.01); H04N 5/33 (2013.01); G08B 13/18 (2013.01); G08C 23/04 (2013.01); H04N 7/181 (2013.01);
Abstract

A system configured to improve human presence detection and/or localization by generating aggregate confidence values. The system may aggregate confidence values corresponding to overlapping regions of interest. The system may perform human presence detection by comparing the aggregate confidence values to a universal threshold, with aggregate confidence values above the universal threshold indicating that human presence is detected. The system may use the aggregate confidence values to generate a heatmap, may identify a strongest cluster of pixels in the heatmap and determine a bounding box surrounding the strongest cluster. To distinguish the strongest cluster from a second strongest cluster of pixels, the system may apply a Gaussian kernel with varying threshold values. The system may store the threshold value at which the strongest cluster separates from the second strongest cluster and may use the threshold value to generate the bounding box.


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