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.:
Date of Patent:
Apr. 26, 2022
Filed:
Jan. 22, 2021
Board of Trustees of Michigan State University, East Lansing, MI (US);
Ford Global Technologies, Llc, Dearborn, MI (US);
Xiaoming Liu, Okemos, MI (US);
Jian Wan, Novi, MI (US);
Kwaku Prakah-Asante, Commerce Charter Township, MI (US);
Mike Blommer, Ann Arbor, MI (US);
Ziyuan Zhang, East Lansing, MI (US);
Luan Tran, Grand Rapids, MI (US);
Xi Yin, Sunnyvale, CA (US);
Yousef Atoum, East Lansing, MI (US);
Board of Trustees of Michigan State University, East Lansing, MI (US);
Ford Global Technologies LLC, Dearborn, MI (US);
Abstract
Gait, the walking pattern of individuals, is one of the most important biometrics modalities. Most of the existing gait recognition methods take silhouettes or articulated body models as the gait features. These methods suffer from degraded recognition performance when handling confounding variables, such as clothing, carrying and view angle. To remedy this issue, a novel AutoEncoder framework is presented to explicitly disentangle pose and appearance features from RGB imagery and a long short-term memory integration of pose features over time produces the gait feature.