Goh Chok How
Papers
1
Total Citations
3
H-Index
1
About
Goh Chok How’s research centers on computer vision, human-robot interaction, and intelligent tracking systems, with a particular focus on enabling mobile robots to detect, recognize, and follow human targets in dynamic environments. His most cited work, “Shirt pattern recognizing and tracking behavior analysis using SURF on the moving human target” (2015, 3 citations), addresses a critical challenge in human-following robotics: moving beyond simple human detection to achieve robust, continuous tracking and recognition. By applying the SURF algorithm to analyze shirt patterns, Goh developed a method that allows robots to maintain identification of a specific individual even as both the person and the robot move, overcoming limitations of earlier systems that struggled with re-identification after occlusion or changes in perspective. This contribution is particularly valuable for applications in assistive robotics, autonomous navigation, and human-robot collaboration. While his citation count remains modest, Goh’s work represents a practical, algorithm-driven approach to a persistent problem in mobile robotics, demonstrating how feature-based recognition can enhance tracking reliability in real-world scenarios.
Research Focus
Key Achievements
Top Papers
- 1