Tzu-Hsun Tseng
Papers
1
Total Citations
4
H-Index
1
About
Tzu-Hsun Tseng is a robotics and computer vision researcher whose work focuses on enabling mobile robots to perceive and interact with dynamic environments. His primary research areas include moving object detection, visual surveillance, and autonomous navigation. Tseng's most notable contribution is his 2013 paper, "A template reconstruction scheme for moving object detection from a mobile robot," which addresses the critical challenge of detecting intruders and moving targets from a moving platform using only a single camera. This work, garnering 4 citations, proposes an innovative image processing scheme that compensates for the robot's own motion to isolate genuine moving objects—a fundamental capability for security robotics and autonomous navigation. While his citation count is modest, Tseng's research tackles a core problem in field robotics: reliable perception under ego-motion. His approach to template reconstruction offers a practical solution for mobile robot surveillance, demonstrating how computer vision techniques can be adapted for real-world, dynamic scenarios. Tseng's work contributes to the foundational technologies that make mobile robots more capable and autonomous in security and monitoring applications.
Research Focus
Key Achievements
Top Papers
- 1