Kil-Cheon Kim

Neo Access (South Korea), Yonsei University

Papers

Total Citations

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About

Kil-Cheon Kim is a leading researcher in human–robot interaction (HRI) and computer vision, with a focus on enabling robots to perceive and respond to human presence in real time. His most influential work, "Human tracking and silhouette extraction for human–robot interaction systems" (2008), has garnered 16 citations and lays the foundation for robust, vision-based tracking that allows robots to follow and engage with people naturally. Kim’s approach integrates silhouette extraction with multi-target tracking, addressing critical challenges in dynamic environments where robots must distinguish individuals from backgrounds and each other. His earlier study, "An Integrated Robot Vision System for Multiple Human Tracking and Silhouette Extraction" (2006), further demonstrates his commitment to building unified frameworks that combine detection, segmentation, and tracking into a single pipeline. By advancing these techniques, Kim has contributed to safer, more intuitive human–robot collaboration in settings ranging from service robotics to assistive technology. His work remains a key reference for researchers developing vision systems that prioritize both accuracy and computational efficiency in interactive robotics.