Yong-Hyun Woo
Papers
1
Total Citations
14
H-Index
1
About
Yong-Hyun Woo is a researcher whose work lies at the intersection of computer vision, pattern recognition, and intelligent surveillance systems. His primary research areas include face detection and recognition, particularly under challenging real-world conditions such as long-distance imaging, low resolution, and noise degradation. Woo’s most notable contribution is his pioneering work on person-specific face detection using optimum composite filtering combined with colour-shape information, a method that significantly improves identification accuracy in degraded surveillance environments. This key paper has garnered 14 citations, reflecting its relevance to ongoing challenges in biometric security and robot vision. While his citation count is modest, Woo’s focus on practical, robust solutions for face identification at a distance addresses a critical gap in the field, where conventional methods often fail. His work is particularly valuable for applications in intelligent surveillance and autonomous systems, demonstrating a commitment to solving real-world problems through innovative algorithmic approaches. Woo’s research continues to inspire advancements in long-range biometric identification.
Research Focus
Key Achievements
Top Papers
- 1