Computer vision, sometimes called image understanding, describes
the automatic deduction of the structure and the properties of a possibly
dynamic three-dimensional world from either a single or multiple two-dimensional
images of the world. The images maybe monochromatic or colored, they may
be captured by a single camera or mutliple cameras, and each camera may
be either stationary or mobile [
Nalwa, 1993 ].
This Class
The major theme of this class is Motion-Based Recognition and
Video Understanding. Motion-based recognition deals with the
identification of the objects or the motions of the objects, based on motion
parameters extracted from a video sequence. In this class we will
study motion estimation techniques and then undertake a detailed exploration
of how such techniques can be used to recognze and track movements.
More emphasis will be paid to tracking human movements and activities,
however, the methods dicussed can be generalized to other domains.