Se Hyun Park

Papers

Total Citations

114

H-Index

About

Se Hyun Park is a pioneering researcher in the fields of computer vision, pattern recognition, and human-robot interaction, with a particular focus on intelligent systems that bridge visual perception and machine learning. His most influential contribution, the 2001 paper "Support Vector Machine-based Text Detection in Digital Video" (83 citations), introduced a robust SVM-driven framework for automatically locating and extracting text from complex video streams—a foundational advance that has shaped modern video indexing and content analysis. Building on this, Park’s work on "HMM-Based Gesture Recognition for Robot Control" (31 citations) demonstrated how hidden Markov models could enable intuitive, non-verbal human-robot communication, allowing robots to interpret dynamic hand gestures for real-time control. This research has had lasting impact in assistive robotics and interactive systems. Park’s career reflects a consistent drive to make machines more perceptive and responsive, with his SVM and HMM methods still cited in contemporary studies on autonomous navigation and multimedia retrieval. His contributions remain essential reading for students and researchers developing vision-based interfaces and intelligent robotic systems.