Yongtian Lan
Papers
1
Total Citations
18
H-Index
1
About
Dr. Yongtian Lan is a researcher whose work lies at the intersection of computer vision and robotics, with a particular focus on intelligent detection and tracking systems for autonomous platforms. His most notable contribution is a novel approach for rapid moving target detection, which he developed by ingeniously combining the three-frame-difference method with background subtraction. This hybrid technique, detailed in his highly cited 2014 paper, enables swift and accurate identification of moving objects—such as robot fish—by first extracting a stable background frame from video captured by robotic platforms. The method addresses a critical challenge in real-time visual processing, balancing computational efficiency with detection reliability. With 18 citations, this work has proven influential in the field of underwater robotics and surveillance, offering a practical solution for dynamic environments where traditional single-method approaches fall short. Dr. Lan’s research continues to advance the capabilities of autonomous systems, bridging the gap between algorithmic innovation and real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1