Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Michigan Univ., Ann Arbor, MI, USA
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
Keywords :
computer vision; computer vision; dynamic vision system; image flow fields; incremental structure recovery; motion detection; segmentation; Cameras; Computer vision; Feedback; Image motion analysis; Layout; Machine vision; Motion detection; Robustness; Shape; Testing;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28212