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.

Patent No.:

US 10552671 B1

PDF
Full Text
Expired
Date of Patent:
Feb. 04, 2020

Filed:

Nov. 22, 2017
Applicant:

King Fahd University of Petroleum and Minerals, Dhahran, SA;

Inventors:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 7/246 (2017.01); G06N 20/00 (2019.01);
U.S. Cl.
CPC ...
G06K 9/00348 (2013.01); G06N 20/00 (2019.01); G06T 7/246 (2017.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01);
Abstract

Described is a novel method for feature extraction for automatic gait recognition. This method uses Multi-kernel Fuzzy-based Local Gabor Binary Pattern. From a captured gait video sequence, the gait period is determined then a gait energy image is constructed to represent the spatial-temporal variations during one motion cycle of the gait sequence. Then, each gait sequence is represented with a feature vector. The computation of this vector is conducted by first applying the 2D Gabor filter bank then encoding the variations in the Gabor magnitude using a multi-kernel fuzzy local binary pattern operator. Finally, gait classification is performed using a support vector machine.


Find Patent Forward Citations

Binsaadoon, Amer Ghazi Abdullah. (2020). Multi-kernel fuzzy local gabor feature extraction method for automatic gait recognition (U.S. Patent No. 10552671). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/10552671

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