Soung Min Im

Korea Advanced Institute of Science and Technology

Papers

Total Citations

H-Index

About

Soung Min Im is a researcher in robotics and computer vision, with a focus on intelligent surveillance and autonomous systems. His work addresses critical challenges in dynamic environment perception, particularly in the detection and prediction of abandoned objects—a key concern for public safety and security. In his most-cited paper, "Abandoned object position prediction based on mobile robot" (2008, 10 citations), Im advanced beyond traditional static-image approaches by integrating mobile robotics with real-time visual surveillance. This contribution enables more robust detection in crowded, changing scenes, offering a predictive framework that enhances situational awareness for autonomous robots. While his citation count reflects a focused, early-career impact, his research lays important groundwork for integrating mobility and vision in security applications. Im’s work is notable for bridging the gap between stationary surveillance systems and dynamic robotic platforms, a step toward more adaptive and responsive public safety technologies.