Gait recognition has been a topic of continued interest in the biometrics research community. Gait has some important advantages over other forms of biometric authentication. It can be acquired at a distance when other biometrics are obscured or the resolution is insufficient. It does not require subject cooperation and can be acquired in a non-invasive manner. It is easy to observe and hard to disguise as walking is necessary for human mobility. Gait can be acquired from a temporal sequence of images (e.g. a video) and may be partly acquired even from a single still image.
The lecture will briefly introduce research challenges in this area.
Yasushi Yagi is a professor of the Institute of Scientific and Industrial Research at Osaka University. He received his Ph.D. degree from Osaka University in 1991. In 1985, he joined the Product Development Laboratory, Mitsubishi Electric Corporation, where he worked on robotics and inspections. He became a research associate at Osaka University in 1990, a lecturer in 1993, an associate professor in 1996, and a professor in 2003. He was the director of the Institute of Scientific and Industrial Research at Osaka University from 2012 to 2015. He was the executive vice-president of Osaka University from 2015 to 2019.
On September 19, 2018, Osaka University's Initiative for Life Design Innovation Project was selected for the Ministry of Education, Culture, Sports, Science and Technology's 2018-19 Research Hub Support Project for the Realization of Society 5.0. Osaka University was the only university selected for this project. He leads the project as the general manager of initiative for life design innovation.
The studies in his laboratory focus on computer vision and media processing including basic technologies such as sensor design, and applications such as an intelligent system with visual processing functions. Some of our major research projects are: the development of a novel vision sensors such as an omnidirectional catadioptric system; biomedical image processing such as endoscope and microscope images; person authentication, intention, and emotion estimation from human gait, and its applications to forensic and medical fields; photometry analysis and its application to computer graphics; an anticrime system using a wearable camera; and 3D shape and human measurement using infrared light.
He is a member of the Editorial Board of the International Journal of Computer Vision and the Vice-President of the Asian Federation of Computer Vision Societies. He is a fellow of IPSJ and a member of IEICE, RSJ, and IEEE.