DocumentCode :
2578591
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
fYear :
1994
fDate :
19-22 Apr 1994
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;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
ISSN :
1520-6149
Print_ISBN :
0-7803-1775-0
Type :
conf
DOI :
10.1109/ICASSP.1994.389490
Filename :
389490
Link To Document :
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