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Proceedings Paper

Locating Fast-Moving Objects In TV-Images In The Presence Of Motion Blur
Author(s): Gerhard Haas; Volker Graefe
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Paper Abstract

When computer vision is used for the real-time control of dynamic systems, one difficulty arises from the fact that TV-cameras integrate the incoming light over a time interval equivalent to one frame period. If an observed object moves fast enough, its image will deteriorate in two ways: the edges will be blurred and the contrast will diminish. This causes conventional edge detectors or thresholding methods to break down. This paper describes a novel algorithm on the basis of nonlinear filtering, that overcomes these difficulties and has succeeded in locating with high accuracy objects, whose images move at speeds of 1000 pixels/sec. Experimental results obtained by simulation and by controlling real objects are reported. A similar algorithm can be used to estimate the velocity of an object from the degree of motion blur of its image.

Paper Details

Date Published: 26 October 1983
PDF: 7 pages
Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935335
Show Author Affiliations
Gerhard Haas, Fachbereich Luft- und Raumfahrttechnik (West Germany)
Volker Graefe, Fachbereich Luft- und Raumfahrttechnik (West Germany)

Published in SPIE Proceedings Vol. 0397:
Applications of Digital Image Processing V
Andre J. Oosterlinck; Andrew G. Tescher, Editor(s)

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