Ho Shan Poon
Papers
1
Total Citations
2
H-Index
1
About
Ho Shan Poon is a researcher in computer vision and robotics, with a focus on 3D perception and autonomous navigation using monocular camera systems. His most cited work, "Robust Detection and Tracking of Multiple Moving Objects with 3D Features by an Uncalibrated Monocular Camera" (2009), introduces a novel framework for simultaneously detecting and tracking multiple dynamic objects from a single, uncalibrated camera—a challenging problem in real-world environments. By leveraging 3D feature extraction without prior calibration, Poon’s approach enhances robustness in cluttered scenes, enabling applications in autonomous driving, surveillance, and mobile robotics. Although his citation count remains modest at 2, the work’s technical depth and practical relevance have influenced subsequent studies in uncalibrated visual tracking and multi-object motion analysis. Poon’s contributions underscore the potential of monocular vision for cost-effective, scalable perception systems, paving the way for advances in real-time autonomous navigation and scene understanding.
Research Focus
Key Achievements
Top Papers
- 1