Automatic Facial Expression Analysis

In this talk, I’ll talk automatic facial expression analysis including neutral face detection, action unit recognition and basic facial expression recognition. We developed two different frameworks, one for collaborative users (high resolution frontal view faces) and another for uncontrolled environments (low resolution videos, different head poses and non-frontal faces). We also evaluated the recognition performance for geometry facial features (eyes, lips, etc.), appearance features (Gabor features on whole face region), and the combination of geometry and appearance features at different level of video resolutions.

Speaker Details

Dr. Ying-Li Tian is an associate professor in the Electrical Engineering Department of The City College of the City University of New York (CCNY). Prior to joining CCNY, she was a Research Staff Member in Exploratory Computer Vision Group at the IBM T.J. Watson Research Center. As one of the inventors of the IBM Smart Surveillance Solutions (SSS), she led the video analytics team to develop IBM SSS from an Adventure Research project to a commercialized product. She received the IBM Invention Achievement Awards every year from 2002 to 2007. She also received the IBM Outstanding Innovation Achievement Award in 2007 for her contributions to IBM SSS. Dr. Tian’s research experience includes target detection and tracking, event and activity analysis, scene understanding, facial expression recognition, human computer interaction, multi-sensor fusion, and machine learning.

Date:
Speakers:
Ying-Li Tian
Affiliation:
The City College of the City University of New York