Estimation of motion parameters from image sequences
Contributors: Burl, Jeff B.
Publisher: Naval Postgraduate School; Available from the National Technical Information Service
Published: 1991
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 86
Description: 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. (Author)
Notes: Thesis advisor, Jeffrey B. Burl.

Thesis (M.S. in Electrical Engineering) Naval Postgraduate School, June 1991.

Includes bibliographical references.