Seong-Wan Ma

Papers

Total Citations

H-Index

About

Seong-Wan Ma is a researcher in mobile robotics and computer vision, with a focus on robust object tracking under challenging real-world conditions. His major contribution lies in developing algorithms that enable mobile robots to reliably track objects despite camera jitter, illumination changes, shape variations, and occlusion. His most-cited work, "Robust Object Tracking in Mobile Robots using Object Features and On-line Learning based Particle Filter" (2012), introduces a novel tracking method that integrates object features with an on-line learning particle filter to adapt to dynamic environments. This approach has garnered 7 citations, reflecting its relevance in the field of autonomous navigation. Ma’s research addresses critical limitations in side-view camera systems, enhancing the stability and accuracy of tracking in mobile platforms. His work is particularly valuable for students and researchers exploring real-time vision systems in robotics, offering practical solutions for robust perception in uncontrolled settings.