Cheolmin Choi

Papers

Total Citations

H-Index

About

Cheolmin Choi is a researcher whose work lies at the intersection of computer vision, human-robot interaction, and gesture recognition. His research focuses on enabling robots to perceive and interpret human motion, with particular emphasis on human tracking, silhouette extraction, and visual gesture analysis. Choi’s most cited work, "Human tracking and silhouette extraction for human–robot interaction systems" (2008, 16 citations), addresses the foundational challenge of how robots can reliably detect and follow humans in dynamic environments. His paper on "Visual recognition of aircraft marshalling signals using gesture phase analysis" (2008, 15 citations) is especially notable for its practical application: developing a vision-based system that allows robots to understand the hand signals used by ground crew to guide aircraft. This work demonstrates Choi’s ability to bridge theoretical computer vision with real-world operational needs. His research has contributed to making human-robot collaboration more intuitive and safe, particularly in industrial and aviation settings. While his citation counts reflect a focused but impactful body of work, Choi’s contributions to gesture-based interfaces and human tracking remain relevant for researchers developing next-generation robotic systems that must work seamlessly alongside people.