The
increasing need for sophisticated surveillance systems and the move to
digital surveillance infrastructure has transformed surveillance into a
large scale data analysis and management challenge. Smart surveillance
systems use automatic image understanding techniques to extract
information from the surveillance data. While the majority of the
research and commercial systems have focused on the information
extraction aspect of the challenge, very few systems have explored the
use of extracted information in the search, retrieval, data management
and investigation context. The IBM smart surveillance system is one of
the few advanced surveillance systems which provides not only the
capability to automatically monitor a scene but also the capability to
manage the surveillance data, perform event
based retrieval, receive real time event alerts thru standard web
infrastructure and extract long term statistical patterns of activity.
The IBM S3 is easily customized to the requirement of different
applications by using an open-standards based architecture for
surveillance.
Biography
Ying-Li
Tian received her PhD from the Chinese University of Hong Kong in 1996
and her BS and MS from TianJin University, China in 1987 and
1990. She is experienced in computer vision topics ranging from object
recognition, photometric modeling and shape from shading, to human
identification, 3D reconstruction, motion/video analysis, and facial
expression analysis.
After she worked in National Laboratory of Pattern Recognition, Chinese
Academy of Sciences, Beijing, China, Dr. Tian joined the Robotics
Institute in Carnegie Mellon University as a postdoctoral fellow. She
focused on automatic facial expression analysis. She proposed and
developed robust and powerful methods for facial feature detection,
tracking, and automated facial expression analysis.
Since 2001, Dr. Tian is working at IBM T. J. Watson Research
Center and focusing on moving object detection, tracking, and event and
activity analysis. She is one of the inventors of the IBM Smart
Surveillance System (S3). Dr. Tian published more than 50 papers in
journals and conferences. She is a senior member of IEEE.