Work

DensePoseGait : Dense Human Pose Part-Guided for Gait Recognition

Year: 2024

Type: article

Source: IEEE Transactions on Biometrics Behavior and Identity Science

DOI: 10.1109/tbiom.2024.3486732

Authors: Rijun Liao, Zhu Li, Shuvra S. Bhattacharyya, George York

Institutions: Guangdong Medical College, University of Missouri–Kansas City, University of Maryland, College Park, United States Air Force, United States Air Force Academy

Language: English

Topic: Gait Recognition and Analysis

Subfield: Biomedical Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: closed

Funders: National Science Foundation, Air Force Research Laboratory

OpenAlex ID: W4403826550

FWCI: 0.837

Cites: 46

Cited by: 8

Related to: 10