SangJoo Kim
Papers
1
Total Citations
3
H-Index
1
About
SangJoo Kim is a researcher in robotics and computer vision, with a focus on efficient object tracking and visual servoing. His work addresses the challenge of tracking moving objects in real-time, particularly for mobile robots equipped with pan-tilt cameras. In his most cited paper, "Optimal Representative Blocks for the Efficient Tracking of a Moving Object" (2004, 3 citations), Kim proposed a novel method that leverages the principle of image size variation to select optimal blocks for tracking, thereby reducing computational load while maintaining accuracy. This contribution is significant for applications in autonomous navigation and surveillance, where real-time performance is critical. Though his citation count is modest, Kim's work demonstrates a practical, problem-driven approach to robotics, offering insights into the trade-offs between efficiency and precision in dynamic environments. His research is particularly relevant for students and engineers seeking to understand the fundamentals of visual tracking and the optimization of robotic perception systems.
Research Focus
Key Achievements
Top Papers
- 1