Performance analysis of image motion analysis algorithms
Burl, Jeffrey B.
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Computer simulation studies of image motion analysis algorithms are presented The algorithms are the extended Kalman filter algorithm, linear feature-based algorithm (perspective and orthogonal), and the accumulative differencing algorithm. The simulation studies both using computer generated and real images are conducted to determine the performance of the algorithms on low signal to noise ratio images. Using the results of simulation studies, a comparison of the performance of image motion analysis algorithms is performed.
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