Hyung-Bok Kim
Papers
1
Total Citations
4
H-Index
1
About
Hyung-Bok Kim’s research centers on computer vision and intelligent tracking systems, with a particular focus on real-time object detection and motion analysis in complex environments. His most cited work, “Specified Object Tracking in an Environment of Multiple Moving Objects using Particle Filter” (2011), addresses a core challenge in visual surveillance and human-computer interaction: isolating and tracking a single target amidst numerous moving objects. By applying particle filter algorithms, Kim developed a method that enables robust, selective tracking—a critical capability for applications ranging from security monitoring to human-robot interfaces. Although his citation count (4) reflects a niche but foundational contribution, the work’s significance lies in its practical approach to a pervasive problem in dynamic scene analysis. Kim’s research bridges theoretical filtering techniques with real-world deployment, offering a scalable solution for environments where multiple agents compete for attention. His contributions underscore the importance of efficient, adaptive tracking in advancing autonomous systems and interactive technologies, making his work a valuable reference for researchers exploring selective attention in computer vision.
Research Focus
Key Achievements
Top Papers
- 1