Seok Cheol Kee
Papers
1
Total Citations
6
H-Index
1
About
Seok Cheol Kee is a researcher whose work lies at the intersection of robotics, computer vision, and audio processing, with a particular focus on human-robot interaction. His most cited paper, "Speaker detection and tracking at mobile robot platform" (2005), introduces a pioneering method for audio-visual speaker localization using an uncalibrated camera and an 8-microphone array. This work proposes an object-oriented algorithm that fuses skin color detection with human tracking, enabling a mobile robot to robustly detect and follow multiple speakers in dynamic environments. Though his citation count (6) is modest, this early contribution is notable for its practical integration of multimodal sensing—combining vision and sound—to solve a real-world challenge in autonomous robotics. Kee’s research demonstrates a foundational approach to making robots more socially aware, laying groundwork for later advances in interactive systems. His work remains relevant for students and engineers exploring sensor fusion, speaker diarization, or human-aware navigation in robotics.
Research Focus
Key Achievements
Top Papers
- 1Speaker detection and tracking at mobile robot platform6 citations · 2005