3 Good Health and Well-Being
9 Industry, Innovation and Infrastructure
10 Reduced Inequalities
Department
Computer Vision, Pattern Recognition, Sensing, Machine Learning
Keyword
Human behavior estimation, Privacy protection，Occluded region sensing
Project
We are developing estimation methods that utilize diverse sensors such as acoustic signals, wireless signals, and event-based cameras to address scenarios where conventional RGB video cameras struggle, including low-light or occluded environments, high-speed motion capture, and situations requiring greater privacy protection for subjects. We are also working on technologies that enable posture estimation of people and imaging of occluded areas even when the target is not directly visible to the sensor, with potential applications in risk prediction, security, and remote monitoring.
We are also actively working on image and video inpainting techniques that seamlessly remove and fill in unwanted regions unintentionally captured in camera footage. In addition, we broadly conduct research topics including image recognition and medical image processing.
Desired joint research
We conduct a wide range of research, including sensing of people and environments using diverse sensors, as well as measurement and estimation in occluded areas. If you are interested in potential collaboration, please feel free to contact us.
- We are open to both commissioned (contract-based) research and collaborative research.
Collaboration track record
- Nippon telegraph and telephone corporation (2022〜)
- Sony AI (2024〜)
- We are actively involved in a wide range of inter-university collaborations.
Profile
| Department： | Department of Applied Chemistry |
|---|---|
| Major： | School of Science for Open and Environmental Systems |
| Title： | Associate Professor |
Mariko Isogawa received her B.S., M.S., and Ph.D. degrees from Osaka University, Japan, in 2011, 2013, and 2019, respectively. From 2013 to 2022, she worked at Nippon Telegraph and Telephone Corporation as a Researcher. She was a Visiting Scholar at Carnegie Mellon University from 2019 to 2020. Since 2022, she has been affiliated with Keio University. She is currently an Associate Professor in the Department of Information and Computer Science, Faculty of Science and Technology, Keio University. Her research interests include computer vision, pattern recognition, sensing, and machine learning.
