Hirofumi Uemura
Papers
1
Total Citations
11
H-Index
1
About
Hirofumi Uemura is a researcher in computer vision and robotics, with a particular focus on visual sensing and color-based object tracking. His most cited work, "A Color Tracker Employing a Two-dimensional Color Histogram Under Unstable Illumination" (2006, 11 citations), addresses a fundamental challenge in intelligent robotics: enabling machines to reliably detect and track objects using color information despite fluctuating lighting conditions. This contribution is critical for developing "artificial eyes and a brain" in robots, where robust visual perception is essential for autonomous interaction with the environment. By proposing a two-dimensional color histogram method, Uemura advanced the practical application of color tracking in real-world, uncontrolled settings. While his citation count reflects a focused, niche impact, his work underscores the importance of sensor resilience in robotic systems. Uemura’s research continues to inform the design of vision-based control systems, contributing to the broader goal of creating more adaptive and perceptive intelligent machines.
Research Focus
Key Achievements
Top Papers
- 1