Yasuyuki Shimohata

Papers

Total Citations

H-Index

About

Yasuyuki Shimohata has made significant contributions to computer vision and robotics, with a particular focus on real-time object recognition and image segmentation. His work on "Real-time and Simultaneous Recognition of Multiple Moving Objects Using Cubic Higher-order Local Auto-Correlation" (2008, 7 citations) addresses a critical challenge in video surveillance, intelligent transport systems, and robot vision by enabling the simultaneous identification of multiple moving objects in real time. This approach leverages advanced feature extraction techniques to handle dynamic environments efficiently. Additionally, Shimohata's research on "Smart extraction of desired object from color-distance image with user's tiny scribble" (2008, 6 citations) advances interactive image segmentation, allowing robots to isolate target objects with minimal user input—a crucial capability for autonomous manipulation in real-world settings. His work bridges the gap between theoretical computer vision and practical robotic applications, demonstrating how efficient algorithms can enable machines to perceive and interact with their surroundings more intelligently. Though his citation counts reflect focused contributions, Shimohata's innovations in real-time processing and user-guided segmentation have laid groundwork for more responsive and adaptable robotic systems.