Jung-Ho Choi

Papers

Total Citations

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About

Jung-Ho Choi’s research centers on robotics, computer vision, and autonomous systems, with a particular focus on real-time object recognition and tracking. In his most-cited work, “A Study On Algorithm Fusion For Recognition And Tracking Of Moving Robot,” Choi introduced a novel approach that merges the SURF feature detection algorithm with the Lucas-Kanade optical flow method. This fusion enables robust tracking of moving objects, demonstrated through experiments with a 1/10 scale model car. While the paper has accumulated 2 citations, its conceptual contribution lies in addressing the challenge of maintaining tracking accuracy in dynamic environments—a foundational issue in autonomous navigation. Choi’s work bridges theoretical algorithm design and practical implementation, offering insights for researchers developing mobile robots and intelligent surveillance systems. His approach exemplifies how combining complementary techniques can overcome the limitations of individual methods, a principle that continues to influence studies in sensor fusion and real-time computer vision. For students and researchers exploring algorithm integration for robotic perception, Choi’s study provides a clear, applied example of how to enhance tracking reliability in real-world conditions.