Masao Kaneko
Papers
1
Total Citations
9
H-Index
1
About
Masao Kaneko is a researcher whose work lies at the intersection of computer vision and human-robot interaction, with a particular focus on robust visual tracking in complex, real-world environments. His most-cited paper, "Visual Tracking in Occlusion Environments by Autonomous Switching of Targets" (2008, 9 citations), addresses a critical challenge in vision-based systems: maintaining stable tracking when objects are partially or fully hidden. Kaneko’s key contribution is an autonomous switching mechanism that allows tracking systems to dynamically change targets during occlusion, ensuring continuity and reliability—a vital capability for applications like human-computer interfaces and assistive robotics in cluttered daily living spaces. While his citation count reflects a focused, specialized impact, his work has informed subsequent research on occlusion handling, a persistent bottleneck in practical vision systems. By tackling the problem of visual interference head-on, Kaneko has helped lay the groundwork for more resilient and adaptive tracking technologies, making his contributions valuable for students and engineers developing interactive systems that must operate seamlessly amidst real-world chaos.
Research Focus
Key Achievements
Top Papers
- 1