Teck Loon Lim
Papers
1
Total Citations
22
H-Index
1
About
Dr. Teck Loon Lim is a researcher specializing in computer vision, real-time object tracking, and parallel computing frameworks. His work focuses on enhancing the efficiency and performance of visual tracking algorithms, particularly through the application of multi-threading architectures. In his most cited work, "Investigation of Threading Building Blocks Framework on Real Time Visual Object Tracking Algorithm" (2014, 22 citations), Dr. Lim explores how Intel’s Threading Building Blocks (TBB) can accelerate color-based object tracking for critical applications such as surveillance, search and rescue, augmented reality, and robotics. This contribution highlights his expertise in bridging software optimization with practical vision systems. While his citation count reflects a focused, early-career impact, his research addresses the growing demand for high-speed, reliable tracking in real-world environments. Dr. Lim’s work is particularly valuable for students and engineers developing embedded or real-time systems, where computational efficiency is paramount. His investigations into multi-threading frameworks offer foundational insights for optimizing computer vision pipelines, making his research a useful reference for those entering the field of parallelized visual computing.
Research Focus
Key Achievements
Top Papers
- 1