This set of lectures introduces some of opportunities that video from either a moving scene or camera can create. For example, with active motion, one can improve observations of the object, separate out the object from the background, estimate its 3D shape an position, or focus on the more important portions of the scene.
This lecture introduces some of the benefits of having an active vision system or scene: segmentation of a nearby foreground object from against the background, enhancing resolution, particularly when using a non-uniform sensor, extracting the optical flow cause by a moving object.
This lecture looks at aspects of images and videos that make some image locations more interesting. The interestingness of these locations can be due differences in properties or motion. A computer can concentrate its processing on the more interesting locations, much as the human vision system does.
This lecture shows how once can acquire 3D information about objects based on how the objects or observer moves, i.e. parallax. This can lead to a 3D reconstruction of the object.