Chi-Min Oh

Chonnam National University, Korea Advanced Institute of Science and Technology

Papers

Total Citations

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About

Chi-Min Oh is a robotics and computer vision researcher whose work focuses on enabling seamless human-robot interaction through visual perception. His key research areas include moving object detection, articulated human body tracking, and gesture recognition for mobile robotics. Oh’s most-cited paper (2012, 9 citations) addresses the challenging problem of detecting moving objects from an omnidirectional camera on a mobile robot, where both the background and objects move independently—a critical capability for autonomous navigation. He further advanced human-robot interaction through his work on pictorial structures-based upper body tracking and gesture recognition (2011, 5 citations), developing methods to track highly articulated human poses using dynamic programming and particle filtering. His research on upper body gesture recognition for human-robot interaction (2011, 4 citations) demonstrates practical applications for intuitive robot control. Oh’s contributions lie at the intersection of robust visual tracking and interactive robotics, tackling fundamental challenges in dynamic environments. His work provides foundational techniques for robots to perceive and respond to human motion, making him a notable contributor to the fields of computer vision and human-robot interaction.