Estimation of motion parameters from image sequences
Burl, Jeffrey B.
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The image motion analysis algorithms that generate the two dimensional velocity of objects in a sequence of images are developed. The algorithms considered consist of: the parallel extended Kalman filter method; the spatiotemporal gradient methods; the spatiotemporal frequency methods; and the one-dimensional FFT methods. These algorithms are designed to perform on low signal to noise ratio images. Each of these algorithms is applied to a sequence of computer generated images with varying signal to noise ratios. Simulations are used to evaluate the performance of each algorithm.
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