Soo Young

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Soo Young is a researcher whose work lies at the intersection of computer vision and human-computer interaction, with a particular focus on real-time hand tracking and gesture recognition. Their most-cited paper, "AR-KLT based Hand Tracking" (2006, 6 citations), introduces a pioneering algorithm that integrates multi-cue data with a limb’s degrees of freedom to achieve robust, real-time hand tracking. By combining a second-order auto-regression model with the Kanade-Lucas-Tomasi (KLT) method, Young’s approach effectively maintains a dynamic limb model, enabling accurate tracking even under challenging conditions. This contribution is notable for its practical application in augmented reality (AR) systems, where seamless hand interaction is critical. While their citation count is modest, the work’s technical novelty—particularly the fusion of AR and KLT techniques—has laid groundwork for subsequent advances in gesture-based interfaces. Young’s research underscores the importance of integrating multiple visual cues and motion models to overcome the limitations of traditional tracking methods, offering a valuable foundation for students and researchers exploring real-time, interactive systems.