My research areas are computer vision and pattern recognition. Specifically, my recent focus is computer recognition of human action and
interaction in video imagery.
Video has become an increasingly useful medium of communication in everyday life, and the volume of video archives is growing rapidly.
Unfortunately, our ability to computationally model and process video information lags far behind. Several key problems have slowed our
advance in automated video processing: (1) our lack of any robust method of tracking human activity in video, (2) our lack of a
human-activity model that dynamically learns from video, and (3) our lack of an efficient method to represent video events at a semantic
level. My research is deeply involved in the above and related problem areas, as described below.
Image & Video Processing
Image segmentation. Tracking of deformable object in video. Color processing
Pattern Recognition and Computer Vision
Statistical and structural pattern recognition frameworks.
Graphical models. Neural networks.
Human body modeling. Motion tracking and understanding. Human activity recognition
Human Vision in the context of Sensory neuroscience and Psychophysics
Perceptual organization in biological vision.
Psychophysics on Visual search and Eye movement.
Computational Modeling of Visual Processing
Computational modeling of biological visual processing.
Comparative vision in evolution and its application to artificial vision