Yong Rae Cho

Papers

Total Citations

H-Index

About

Yong Rae Cho is a researcher whose work lies at the intersection of computer vision, robotics, and human-robot interaction. His primary research focus has been on developing real-time face detection and tracking systems tailored for humanoid robotic platforms. In his most cited work, "A study on face tracking in real-time for robot" (2008), Cho proposed a novel system that integrates skin color modeling with deformable ellipse matching to enable robust face detection and tracking in dynamic environments. This approach allows robots to observe and recognize unknown individuals in real time, a critical capability for autonomous social robots. While his citation count remains modest, Cho's contributions are notable for their practical application in embedded computing systems, addressing the computational constraints of early humanoid robots. His work laid foundational groundwork for integrating vision-based perception into robotic platforms, enabling more natural and responsive human-robot interactions. Cho's research continues to influence the development of lightweight, efficient tracking algorithms for resource-limited robotic systems.