26 October 1983 Locating Fast-Moving Objects In TV-Images In The Presence Of Motion Blur
Author Affiliations +
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
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


Building a robust vehicle detection and classification module
Proceedings of SPIE (December 07 2015)
Enclosing shape boundaries using properties of contour
Proceedings of SPIE (August 25 1996)
Automated detection and classification of dice
Proceedings of SPIE (March 26 1995)
Line-scan vision systems
Proceedings of SPIE (December 16 1993)

Back to Top