Shigeki Ikebata
Papers
1
Total Citations
6
H-Index
1
About
Shigeki Ikebata is a researcher whose work lies at the intersection of computer vision and robotics, with a particular focus on motion detection and object recognition. His most cited paper, "Detection of small moving object by optical flow" (2003, 6 citations), addresses a fundamental challenge in robotic vision: how to reliably identify tiny, moving targets that are nearly invisible in static images. By leveraging optical flow analysis across image sequences, Ikebata demonstrated that motion itself can be a powerful cue for detection, enabling robotic systems to perceive objects regardless of their size. This contribution has practical implications for autonomous navigation, surveillance, and human-robot interaction, where early detection of small moving objects is critical. Though his citation count is modest, Ikebata’s work exemplifies a principled approach to solving a persistent problem in visual perception, and his method remains relevant for researchers developing lightweight, real-time vision systems for resource-constrained robots. His research underscores the importance of temporal information in overcoming the limitations of single-frame analysis.
Research Focus
Key Achievements
Top Papers
- 1Detection of small moving object by optical flow6 citations · 2003