Research on Robust Multi-Person Gait Recognition Based on the Combination of Human Mesh Model and Silhouette

Research Project

Project/Area Number	24K20794
Research Category	Grant-in-Aid for Early-Career Scientists
Allocation Type	Multi-year Fund
Review Section	Basic Section 61010:Perceptual information processing-related
Research Institution	Osaka University
Principal Investigator	徐遅大阪大学, 産業科学研究所, 特任助教(常勤) (40988531)
Project Period (FY)	2024-04-01 – 2027-03-31
Project Status	Granted (Fiscal Year 2024)
Budget Amount *help	¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000) Fiscal Year 2026: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000) Fiscal Year 2025: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000) Fiscal Year 2024: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
Keywords	Gait recognition / Multi-person
Outline of Research at the Start	We target multi-person gait recognition, where gait videos contain　multiple walking people as is often seen in real applications. To deal with the inter-subject occlusion, we consider combining features extracted from human mesh models with appearance-based representations.