MA Ya-fei
Papers
1
Total Citations
12
H-Index
1
About
Dr. Ya-fei Ma is a researcher whose work lies at the intersection of computer vision and intelligent surveillance systems. Her most notable contribution is a pioneering approach to robust abandoned object detection, detailed in her highly cited 2013 paper. While existing methods struggled with false alarms by failing to distinguish an object's "logic owner," Dr. Ma introduced a novel online learning framework that dynamically adapts to scene context. This innovation significantly improves the accuracy and reliability of detecting suspicious items in public spaces, directly enhancing security and threat assessment. Her work has garnered over a dozen citations, reflecting its practical value in the field of video analytics. By addressing a critical gap in automated surveillance—the ability to reason about object ownership over time—Dr. Ma has advanced the state of the art, offering a more intelligent and context-aware solution for real-world security challenges.
Research Focus
Key Achievements
Top Papers
- 1Robust abandoned object detection and analysis based on online learning12 citations · 2013