Dong-Youm Lee
Papers
2
Total Citations
7
H-Index
2
About
Dong-Youm Lee is a researcher specializing in robotics and computer vision, with a particular focus on mobile surveillance systems and target-tracking algorithms. His work centers on enhancing the autonomy and precision of surveillance robots through advanced image processing techniques. Lee’s major contributions include the development of a camera-image-based target-tracking algorithm for mobile surveillance robots, which he verified using virtual simulation—a novel approach that reduced the need for costly physical prototypes. He further advanced this field by integrating the CAMShift (Continuously Adaptive Mean Shift) image processing technique into a three-axis surveillance robot, enabling more robust and adaptive tracking of moving targets. His research addresses critical challenges in real-time object tracking, such as handling position errors between camera and target centers, and stabilizing image capture through roll rotation control. While his most-cited papers have garnered modest citation counts (4 and 3 citations respectively), they represent foundational work in the practical application of computer vision to mobile robotics. Lee’s achievements are particularly notable for bridging simulation and real-world implementation, offering a cost-effective pathway for developing intelligent surveillance systems. His work continues to inform researchers exploring autonomous navigation and target acquisition in robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1
- 2