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:
Jan. 13, 2015

Filed:

May. 21, 2013
Applicant:

Aquifi, Inc., Palo Alto, CA (US);

Inventors:

Carlo Dal Mutto, Sunnyvale, CA (US);

Britta Hummel, Berkeley, CA (US);

Michele Stoppa, Mountain View, CA (US);

Giridhar Murali, Sunnyvale, CA (US);

Teresa Mao, Morgan Hill, CA (US);

Giuliano Pasqualotto, Mountain View, CA (US);

Assignee:

Aquifi, Inc., Palo Alto, CA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06K 9/32 (2006.01); G06F 21/32 (2013.01);
U.S. Cl.
CPC ...
G06K 9/00355 (2013.01); G06F 21/32 (2013.01); G06K 9/00375 (2013.01);
Abstract

Systems and methods for tracking human hands by performing parts based template matching using images captured from multiple viewpoints are described. One embodiment of the invention includes a processor, a reference camera, an alternate view camera, and memory containing: a hand tracking application; and a plurality of edge feature templates that are rotated and scaled versions of a finger template that includes an edge features template. In addition, the hand tracking application configures the processor to: detect at least one candidate finger in a reference frame, where each candidate finger is a grouping of pixels identified by searching the reference frame for a grouping of pixels that have image gradient orientations that match one of the plurality of edge feature templates; and verify the correct detection of a candidate finger in the reference frame by locating a grouping of pixels in an alternate view frame that correspond to the candidate finger.


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