26 October 1983 Locating Fast-Moving Objects In TV-Images In The Presence Of Motion Blur
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Proceedings Volume 0397, Applications of Digital Image Processing V; (1983) https://doi.org/10.1117/12.935335
Event: 1983 International Technical Conference/Europe, 1983, Geneva, Switzerland
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.
© (1983) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gerhard Haas, Gerhard Haas, Volker Graefe, Volker Graefe, } "Locating Fast-Moving Objects In TV-Images In The Presence Of Motion Blur", Proc. SPIE 0397, Applications of Digital Image Processing V, (26 October 1983); doi: 10.1117/12.935335; https://doi.org/10.1117/12.935335
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