Yasuhiro Terama

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About

Yasuhiro Terama is a researcher specializing in computer vision, robotics, and intelligent tracking systems. His work focuses on the integration of adaptive camera systems with robotic platforms to achieve robust real-time object tracking in three-dimensional space. Terama's most notable contributions lie in developing hybrid detection frameworks that combine sparse template matching with particle filter methods, enabling fast and accurate object detection even as target position and orientation change dynamically. His 2012 paper, "Object Tracking System by Adaptive Pan-Tilt-Zoom Cameras and Arm Robot," represents a significant advancement in the field, garnering 6 citations for its innovative use of binocular stereo vision to estimate 3D object positions using coordinated pan-tilt-zoom cameras and robotic arms. This work builds upon his earlier 2011 research, which laid the conceptual groundwork for combining pan-tilt camera systems with robotic control for 3D moving object localization. Terama's research addresses a fundamental challenge in autonomous systems — reliable object tracking under varying conditions — making his work relevant to applications in surveillance, industrial automation, and human-robot interaction. Though his citation record is early-stage, his methodological contributions to vision-guided robotics provide a meaningful foundation for researchers working at the intersection of computer vision and robotic control.