Title :
Nonuniform image motion estimation using Kalman filtering
Author :
Namazi, N.M. ; Penafiel, P. ; Fan, C.M.
Author_Institution :
Dept. of Electr. Eng., Catholic Univ. of America, Washington, DC, USA
Abstract :
This paper presents a new, pixel-recursive algorithm for estimating the nonuniform image motion from noisy measurements. First, the pixels are examined to identify the (defectable) moving pixels using a binary hypothesis testing. Then, characterizing the motion of the identified moving pixels in terms of a unitary transformation, the motion coefficients are estimated using a Kalman filter. Because the motion vector is typically (spatially) slowly varying, the size of the motion coefficient vector is significantly reduced. Consequently, the proposed Kalman filter need only search for the truncated coefficients of the motion field. The proposed method is simulated on a computer, and results are compared with the algorithm reported by Netravali and Robbins (1979)
Keywords :
Kalman filters; filtering theory; motion estimation; recursive estimation; Kalman filter; Kalman filtering; binary hypothesis testing; computer simulation; motion coefficient vector; motion field; noisy measurements; nonuniform image motion estimation; pixel-recursive algorithm; recursive estimation; truncated coefficients; unitary transformation; Data compression; Filtering; Kalman filters; Layout; Motion detection; Motion estimation; Motion measurement; Pixel; Testing; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389490