Papers
2
Total Citations
31
H-Index
2
About
Hae Jin Kim is a researcher whose work lies at the intersection of computer vision, robotics, and human-robot interaction. His key research areas include active camera systems, motion detection and tracking, and vision-based motion analysis for interactive robotics. Kim’s major contributions center on developing robust methods for detecting and tracking moving objects using active cameras mounted on mobile robots. His most-cited work, "Detecting and tracking moving object using an active camera" (2005, 28 citations), introduces a novel approach that compensates for camera motion by comparing edge features across consecutive frames, enabling accurate identification of moving objects through image differencing. This foundational technique addresses a critical challenge in dynamic environments where both the camera and target are in motion. In related work, "Motion analysis for human-robot interaction" (2005, 3 citations), Kim extends these methods to specifically analyze human motion for interactive applications, further bridging computer vision and robotics. While his citation counts reflect a focused, early-career impact, his contributions to active camera tracking remain relevant for researchers developing autonomous systems that must perceive and respond to moving agents in real time.
Research Focus
Key Achievements
Top Papers
- 1Detecting and tracking moving object using an active camera28 citations · 2005
- 2Motion analysis for human-robot interaction3 citations · 2005