Yuuki Nishina
Papers
1
Total Citations
4
H-Index
1
About
Yuuki Nishina is a computer vision researcher whose work focuses on robust human and face tracking in complex, real-world environments. His most-cited paper, "A Robust Face Tracking Method by Employing Color-based Particle Filter" (2011), addresses a critical challenge in video surveillance: maintaining accurate tracking despite partial occlusion, rotation, and scale changes. By leveraging color cues over traditional motion or geometric features, Nishina demonstrated how particle filters can achieve greater resilience in diverse settings. While his citation count remains modest, his contribution highlights the importance of color-based approaches for improving tracking stability—a foundational issue in autonomous systems and security applications. Nishina’s research underscores the ongoing need for efficient, adaptive algorithms that can handle the unpredictability of live video feeds, making his work relevant for students and engineers developing real-time computer vision systems.
Research Focus
Key Achievements
Top Papers
- 1A Robust Face Tracking Method by Employing Color-based Particle Filter4 citations · 2011