Sooyeong Kwak

Papers

Total Citations

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About

Sooyeong Kwak is a researcher whose work lies at the intersection of computer vision and human–robot interaction, with a particular focus on enabling robots to perceive and track people in dynamic environments. Her key contributions include developing methods for robust human detection and silhouette extraction, which are essential for robots to safely and intuitively interact with humans. In her most-cited work, "Human tracking and silhouette extraction for human–robot interaction systems" (2008, 16 citations), she proposed a system that integrates multiple visual cues to track individuals and extract their silhouettes in real time, addressing challenges like occlusion and varying backgrounds. Earlier, in "Salient human detection for robot vision" (2007, 5 citations), she explored how visual saliency can be leveraged to prioritize human figures in cluttered scenes, improving detection efficiency. Her integrated robot vision system (2006, 2 citations) further demonstrated a complete pipeline for multi-human tracking and silhouette extraction. Though her citation counts are modest, Kwak’s work is foundational for practical human-aware robotics, offering early solutions to problems that remain central to the field today. Her research continues to inform the development of more perceptive and responsive robotic systems.