Tsu Hung Hsiao

Papers

Total Citations

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About

Tsu Hung Hsiao is a researcher whose work lies at the intersection of computer vision, robotics, and automation, with a particular focus on adaptive color-based object recognition and tracking. His most-cited paper, "Visual tracking using adaptive color histogram model" (2003, 12 citations), introduced a pioneering approach to overcoming a critical limitation in color-based target recognition systems: the inability to adjust color models under changing illumination conditions. By developing an adaptive color histogram model, Hsiao enabled more robust and reliable visual tracking in dynamic environments, a contribution that has informed subsequent advances in robotic perception and automated surveillance. His research demonstrates a keen understanding of the practical challenges in real-world vision systems, bridging theoretical color analysis with applied automation. Though his citation count reflects a focused impact, Hsiao’s work is notable for its foundational role in addressing a persistent problem in computer vision—illumination invariance—making his contributions valuable for students and researchers exploring adaptive tracking, color constancy, and intelligent robotic systems.