Lee Chong Wan

Papers

Total Citations

H-Index

About

Dr. Lee Chong Wan is a researcher in computer vision and robotics, with a focus on intelligent surveillance and autonomous systems. His work addresses the critical challenge of expanding static camera perspectives through dynamic target tracking, enabling robots to exhibit basic artificial intelligence behaviors. His most-cited paper, "Stereo Vision Tracking System" (2009, 8 citations), pioneers a platform that overcomes the limitations of fixed cameras by integrating stereo vision for enhanced depth perception and tracking accuracy. This contribution lays foundational groundwork for surveillance applications and robotic navigation, demonstrating how multi-camera systems can provide richer environmental understanding. Dr. Wan’s research bridges the gap between theoretical vision algorithms and practical deployment, offering scalable solutions for real-world tracking scenarios. While his citation count reflects a niche but emerging impact, his work is notable for its early integration of stereo cues into active tracking—a concept that has since gained traction in autonomous vehicle and drone tracking systems. His contributions continue to inspire advancements in vision-based AI for robotics and security.