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application of the one-dimensional fourier transform for tracking moving objects in noisy environmentsIn Riddle and Rajala (1981), an algorithm was presented which operates on an image sequence to identify all sets of pixels having the same velocity. The algorithm operates by performing a transformation in which all pixels with the same two-dimensional velocity map to a peak in a transform space. The transform can be decomposed into applications of the one-dimensional Fourier transform and therefore can gain from the computational advantages of the FFT. The aim of this paper is the concern with the fundamental limitations of that algorithm, particularly as relates to its sensitivity to image-disturbing parameters as noise, jitter, and clutter. A modification to the algorithm is then proposed which increases its robustness in the presence of these disturbances.
Document ID
19830063060
Document Type
Reprint (Version printed in journal)
Authors
Rajala, S. A.
(North Carolina State Univ. Raleigh, NC, United States)
Riddle, A. N.
(North Carolina State Univ. Raleigh, NC, United States)
Snyder, W. E.
(North Carolina State University Raleigh, NC, United States)
Date Acquired
August 11, 2013
Publication Date
February 1, 1983
Publication Information
Publication: Computer Vision, Graphics, and Image Processing
Volume: 21
ISSN: 0734-189X
Subject Category
CYBERNETICS
Funding Number(s)
CONTRACT_GRANT: NAG1-20
Distribution Limits
Public
Copyright
Other