Chil-Woo Lee
Papers
7
Total Citations
61
H-Index
5
About
Chil-Woo Lee is a pioneering researcher in human-robot interaction and computer vision, with a career spanning over three decades. His primary research areas include real-time gesture recognition, visual categorization for autonomous robots, and human-machine communication systems. Lee’s most impactful contribution is his 2007 work on real-time vision-based gesture recognition for human-robot interaction, which has garnered 27 citations and laid foundational methods for enabling robots to interpret human gestures in dynamic environments. He also advanced moving object detection for omnidirectional mobile robots, addressing the challenge of distinguishing moving objects from ego-motion-induced background changes. In visual categorization, Lee developed entropy-guided codebook techniques to handle large intra-class variations, crucial for robot intelligence and topological place classification. His early work includes a pioneering 1992 system for real-time interactive finger sign recognition using transputer-based parallel computing, and later contributions to pictorial structures-based upper body tracking and gesture recognition. Lee’s research has consistently focused on making robots more perceptive and responsive, with applications in assistive technology and autonomous navigation.
Research Focus
Key Achievements
Top Papers
- 1Real-Time Vision Based Gesture Recognition for Human-Robot Interaction27 citations · 2007
- 2Moving object detection in omnidirectional vision-based mobile robot9 citations · 2012
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- 5Pictorial structures-based upper body tracking and gesture recognition5 citations · 2011
- 6Upper Body Gesture Recognition for Human-Robot Interaction4 citations · 2011
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