Jeongho Ahn

Papers

Total Citations

H-Index

About

Jeongho Ahn is a leading researcher in biometric identification, with a primary focus on advancing gait recognition technology using 3D LiDAR sensors. His work addresses critical limitations in traditional camera-based systems, particularly their vulnerability to changes in walking direction and measurement distance. Ahn’s most-cited paper, "2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance" (2022, 17 citations), introduces a novel framework that leverages LiDAR point clouds to achieve robust identification under varying observational conditions—a breakthrough for real-world applications like criminal investigation and long-range surveillance. Building on this, his 2023 work "Learning Viewpoint-Invariant Features for LiDAR-Based Gait Recognition" (3 citations) further refines the approach by developing features that remain consistent regardless of the subject’s angle relative to the sensor. Ahn’s contributions are pivotal in making gait recognition more reliable and practical, overcoming the constraints of cooperation-dependent or distance-sensitive methods. His research not only pushes the boundaries of biometrics but also holds promise for enhancing security and identification systems in diverse environments, from law enforcement to smart surveillance.