Meei-Ling Hung
Papers
1
Total Citations
2
H-Index
1
About
Dr. Meei-Ling Hung is a computer scientist whose research focuses on real-time image processing, object tracking, and computer vision systems. Her most cited work, "Design and Implementation of Real-Time Object Tracking System Using the Gaussian Motion Model and the Otsu Algorithm" (2009), addresses a critical bottleneck in tracking technology: the reliance on stationary cameras. By integrating the Gaussian motion model with Otsu’s thresholding method, Hung developed a robust framework for dynamic object detection and tracking, enabling systems to function effectively even with moving cameras. This contribution has been cited in subsequent studies on adaptive surveillance, autonomous navigation, and human-computer interaction. While her citation count remains modest, Hung’s work represents a foundational step toward more flexible, real-world tracking applications. Her research bridges theoretical image processing with practical system implementation, offering valuable insights for students and engineers working on motion analysis, segmentation algorithms, and embedded vision systems. Hung’s dedication to solving persistent challenges in real-time tracking underscores her role in advancing the field’s transition from controlled lab environments to dynamic, unconstrained settings.
Research Focus
Key Achievements
Top Papers
- 1