Seung Hun Jin

Papers

Total Citations

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About

Seung Hun Jin is a researcher whose work lies at the intersection of real-time image processing, embedded systems, and human-robot interaction. His key contributions focus on developing efficient, hardware-accelerated computer vision algorithms, particularly for intelligent vehicles and service robots. His most cited work, "A real-time finite line detection system based on FPGA" (2008, 14 citations), addresses the critical need for rapid line feature extraction in autonomous navigation, demonstrating how field-programmable gate arrays can enable real-time performance for object identification and robot guidance. This foundational work showcases his expertise in bridging algorithmic design with hardware implementation. Jin further explores human-machine interfaces in "Dual hand extraction using skin color and stereo information" (2009, 5 citations), proposing a method to robustly extract hand positions for gesture recognition and Human Computer Interaction. By combining skin color segmentation with stereo depth cues, his approach enhances the reliability of hand tracking in complex environments. Though his citation counts are modest, Jin’s contributions are notable for their practical focus on real-time, embedded vision systems—a critical area for advancing autonomous robotics and interactive technologies.