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. 05, 2013

Filed:

Oct. 08, 2010
Applicants:

Po-lung Chen, Tainan County, TW;

Chien-chun Kuo, Tainan County, TW;

Wen-yang Wang, Kaohsiung, TW;

Duan-li Liao, Taichung, TW;

Zhou YE, Foster City, CA (US);

Sheng-wen Jeng, Tainan, TW;

Inventors:

Po-Lung Chen, Tainan County, TW;

Chien-Chun Kuo, Tainan County, TW;

Wen-Yang Wang, Kaohsiung, TW;

Duan-Li Liao, Taichung, TW;

Zhou Ye, Foster City, CA (US);

Sheng-Wen Jeng, Tainan, TW;

Assignees:
Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 3/048 (2013.01); G06T 13/00 (2011.01); G06K 9/40 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computing device in a system for motion detection comprises an image processing device to determine a motion of an object of interest, and a graphical user interface (GUI) module to drive a virtual role based on the motion determined by the image processing device. The image processing device comprises a foreground extracting module to extract a foreground image from each of a first image of the object of interest taken by a first camera and a second image of the object of interest taken by a second camera, a feature point detecting module to detect feature points in the foreground image, a depth calculating module to calculate the depth of each of the feature points based on disparity images associated with the each feature point, the depth calculating module and the feature point detecting module identifying a three-dimensional (3D) position of each of the feature points, and a motion matching module to identify vectors associated with the 3D positions of the feature points and determine a motion of the object of interest based on the vectors.


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