Dynamic vision

Abstract

The architecture of a dynamic vision system is discussed and issues related to motion detection and segmentation, incremental recovery of structure from motion, the environment and world models, and control structures based on qualitative approaches are examined. The ideas presented here are dynamic, and the approach is evolving. The approach does not require image flow field. In some cases, some properties of image flow fields are used, but computation of the field is not necessary. The emphasis here is on recovering robust information using the principles of least commitment and graceful degradation.