Sang Wook Kang
Papers
1
Total Citations
6
H-Index
1
About
Sang Wook Kang is a researcher whose work centers on computer vision and intelligent surveillance systems. His most notable contribution lies in the domain of automated video analysis, particularly the development of systems capable of seamlessly integrating fixed and pan-tilt-zoom (PTZ) camera networks for autonomous target detection and tracking. His 2003 paper, "Automatic Target Acquisition and Tracking with Cooperative Fixed and PTZ Video Cameras," represents a pioneering effort in multi-camera coordination, addressing the practical challenge of maintaining continuous surveillance across dynamic environments without manual operator intervention. This work laid conceptual groundwork for cooperative camera systems that have since become foundational in both academic research and real-world security applications. By enabling fixed cameras to detect targets and intelligently direct PTZ cameras for detailed tracking, Kang's approach bridged the gap between wide-area monitoring and high-resolution observation. While his citation record reflects an early-career or specialized body of work, his contributions to automated surveillance architecture remain relevant as intelligent camera systems continue to evolve in smart city and security technology contexts.
Research Focus
Key Achievements
Top Papers
- 1