Chin‐Ming Hong

Papers

Total Citations

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About

Chin-Ming Hong is a researcher in mobile robotics and computer vision, with a focus on real-time object tracking and autonomous navigation. His most-cited work, "Object following based on SURF for mobile robots" (2012), introduces a robust algorithm that leverages Speed Up Robust Features (SURF) to enable a mobile robot to track a target object in video sequences. By calculating the object’s deviation from the image center and its resizing ratio, the system achieves effective, feature-based following without requiring prior object models. This contribution, with 7 citations, highlights Hong’s skill in applying advanced feature extraction to practical robotic control. His research bridges the gap between visual perception and autonomous movement, offering efficient solutions for dynamic environments. Hong’s work is particularly valuable for students and engineers developing intelligent, vision-guided robots, demonstrating how feature-based methods can enhance real-time performance in constrained systems.