Abstract
A pre-processor is described that can be combined with a conventional computer into a powerful instrument for experiments in the field of computer vision. It contains several micro-computers, all of which work in parallel and have access to the digitized video signal at the same time. Each micro-computer executes its own program analyzing the video signal with respect to one particular aspect.
Results of experiments involving the pre-processor are reported.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Haas, G. (1982) Meßwertgewinnung durch Echtzeitauswertung von Bildfolgen (Doctoral dissertation, to be published)
Meissner, H.G. and E.D. Dickmanns (1983), in this volume Control of an unstable Plant by Computer Vision
Moravec, H.P. (1980) Obstacle Avoidance and Navigation in the Real World by a Seeing Robot Rover Robotics Institute, Carnegie Mellon University, Pittsburg, PA
Reddy, R. (1978) Pragmatic Aspects of Machine Vision in Hanson and Riseman (ed.): Computer Vision Systems, pp. 89–98, Academic Press
Shirai, Y. (1979) On Application of 3-Dimensional Computer Vision Bul. Electrotech. Lab., Vol. 43 No. 6, pp. 358–377
Uhr, L. (1978) “Recognition Cones”, and Some Test Results in Hanson and Riseman (ed.): Computer Vision Systems, pp. 363–377, Academic Press
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 1983 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Graefe, V. (1983). A Pre-Processor for the Real-Time Interpretation of Dynamic Scenes. In: Huang, T.S. (eds) Image Sequence Processing and Dynamic Scene Analysis. NATO ASI Series, vol 2. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-81935-3_28
Download citation
DOI: https://doi.org/10.1007/978-3-642-81935-3_28
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-81937-7
Online ISBN: 978-3-642-81935-3
eBook Packages: Springer Book Archive