Jung Ho Ahn

Papers

Total Citations

H-Index

About

Jung Ho Ahn is a researcher in human–robot interaction and computer vision, with a focus on enabling intuitive and responsive robotic systems. His most-cited work, "Human tracking and silhouette extraction for human–robot interaction systems" (2008, 16 citations), addresses a foundational challenge in robotics: accurately detecting and following human movement in real time. By developing robust methods for silhouette extraction and tracking, Ahn’s research contributes to safer, more natural interactions between humans and machines—critical for applications in assistive robotics, autonomous navigation, and collaborative environments. While his citation count reflects a focused, early-career impact, his work has influenced subsequent studies in gesture recognition and human-aware robot control. Ahn’s contributions highlight the importance of precise visual perception in bridging the gap between human intent and robotic action, offering practical solutions for systems that must operate in dynamic, unconstrained settings. His research remains relevant for engineers and scientists seeking to improve the responsiveness and reliability of interactive robots.