Suk Jin Lee

Papers

Total Citations

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About

Suk Jin Lee is a researcher specializing in computer vision and robotics, with a particular focus on human tracking and sensor-based perception systems. His most cited work, "Human tracking with an infrared camera using a curve matching framework" (2012, 16 citations), introduces the Curve Matched Kalman Filter (CMKF), a novel algorithm that enhances target tracking accuracy by integrating curve matching with the traditional Kalman filter. This contribution addresses key challenges in mobile robotics, improving prediction reliability for human-robot interaction in dynamic environments. Lee’s research bridges theoretical modeling and practical application, offering robust solutions for infrared-based tracking systems. While his citation impact is growing, his work is notable for its methodological innovation—combining geometric matching with probabilistic filtering—which has influenced subsequent studies in sensor fusion and autonomous navigation. Lee’s achievements reflect a commitment to advancing real-time tracking technologies, with potential implications for surveillance, assistive robotics, and human-aware automation.