5.1.2 Kalman Filtering, General

Kalman Filter Library,
January, 2006.
WWW Version. Code, Kalman Filter.

Welch, G.[Greg], and Bishop, G.[Gary],
An Introduction to the Kalman Filter,
TR95-041, University of North Carolina at Chapel Hill, Department of Computer Science, 1995.
WWW Version. Survey, Kalman Filter. Code, Kalman Filter. Tutorial on Kalman filter. All you want to know. BibRef 9500

Kalman, R.E.,
A New Approach to Linear Filtering and Prediction Problems,
T-ASME(1960), March, 1960, pp. 35-45. Recursive solution to the discrete-data linear filtering.
PDF Version. BibRef 6003

Woods, J.W., Radewan, C.H.,
Kalman Filtering in Two Dimensions,
IT(23), July, 1977, pp. 473-482. BibRef 7707

Woods, J.W., Ingle, V.K.,
Kalman Filtering in Two Dimensions: Further Results,
ASSP(29), April, 1981, pp. 188-197. BibRef 8104

Biemond, J., Rieske, J., Gerbrands, J.J.,
A Fast Kalman Filter for Images Degraded by Both Blur and Noise,
ASSP(31), 1983, pp. 1248-1256. BibRef 8300

Chui, C.K.[Charles K.],
Kalman Filtering: With Real-Time Applications,
(Second Edition), New York: Springer-Verlag1991, ISBN 0-387-54013-X. Kalman Filter. Rigorous treatment of Kalman filters. To purchase this book look here BibRef 9100

Tugnait, J.K.,
Constrained Signal Restoration via Iterated Extended Kalman Filtering,
ASSP(33), 1985, pp. 472-475. BibRef 8500

Wu, Z.,
Multidimensional State-Space Model Kalman Filtering with Applications to Image Restoration,
ASSP(33), 1985, pp. 1576-1592. BibRef 8500

Citrin, S., Azimi-Sadjadi, M.R.,
A full-plane block Kalman filter for image restoration,
IP(1), No. 4, October 1992, pp. 488-495.
IEEE DOI Link 0402
BibRef

Kim, J., Woods, J.W.,
Spatiotemporal Adaptive 3-D Kalman Filter for Video,
IP(6), No. 3, March 1997, pp. 414-424.
IEEE DOI Link 9703
BibRef

Kim, J., Woods, J.W.,
A New Interpretation of ROMKF,
IP(6), No. 4, April 1997, pp. 599-601.
IEEE DOI Link 9704
BibRef

Degeeter, J., van Brussel, H., Deschutter, J., Decreton, M.,
A Smoothly Constrained Kalman Filter,
PAMI(19), No. 10, October 1997, pp. 1171-1177.
IEEE Abstract. IEEE Top Reference.
WWW Version. 9710
BibRef

Kim, J., Woods, J.W.,
3-D Kalman Filter for Image Motion Estimation,
IP(7), No. 1, January 1998, pp. 42-52.
IEEE DOI Link 9801
Motion, Estimation. BibRef

Kim, J., Woods, J.W.,
Image identification and restoration in the subband domain,
IP(3), No. 3, May 1994, pp. 312-314.
IEEE DOI Link 0402
BibRef

Azimi-Sadjadi, M.R., Xiao, R., Yu, X.,
Neural Network Decision Directed Edge-Adaptive Kalman Filter for Image Estimation,
IP(8), No. 4, April 1999, pp. 589-592.
IEEE DOI Link BibRef 9904

Chang, C.I.[C. I], Brumbley, C.M.,
Kalman Filtering Approach to Multispectral Image Classification and Detection of Changes in Signature Abundance,
GeoRS(37), No. 1, January 1999, pp. 257.
IEEE Top Reference. BibRef 9901

Piovoso, M.[Michael], Laplante, P.A.[Phillip A.],
Kalman filter recipes for real-time image processing,
RealTimeImg(9), No. 6, December 2003, pp. 433-439.
WWW Version. 0401
BibRef

Toscano, R., Lyonnet, P.,
Heuristic Kalman Algorithm for Solving Optimization Problems,
SMC-B(39), No. 5, October 2009, pp. 1231-1244.
IEEE DOI Link 0906
BibRef

Quinn, J.A.[John A.], Williams, C.K.I.[Christopher K.I.], McIntosh, N.[Neil],
Factorial Switching Linear Dynamical Systems Applied to Physiological Condition Monitoring,
PAMI(31), No. 9, September 2009, pp. 1537-1551.
IEEE DOI Link 0907
BibRef
Earlier: A1, A2, Only:
Known Unknowns: Novelty Detection in Condition Monitoring,
IbPRIA07(I: 1-6).
Springer DOI Link 0706
Kalman filter in time series analysis. Analysis of systems with unknown factors that switch between states. ICU monitoring data. BibRef

Jamoos, A.[Ali], Grivel, E.[Eric], Christov, N.[Nicolai], Najim, M.[Mohamed],
Estimation of autoregressive fading channels based on two cross-coupled Hinf filters,
SIViP(3), No. 3, September 2009, pp. xx-yy.
Springer DOI Link 0910
H∞ Filtering. Kalman filtering. BibRef

Tyagi, A.[Ambrish], Davis, J.W.[James W.],
A recursive filter for linear systems on Riemannian manifolds,
CVPR08(1-8).
IEEE DOI Link 0806
Adapt Kalman filter approach. BibRef

Zhang, X.H.[Xiao-Han], Chen, X.P.[Xiao-Ping], Li, J.L.[Jia-Ling], Li, X.[Xiang],
Vision-based Monte Carlo-Kalman Localization in a Known Dynamic Environment,
ICARCV06(1-7).
IEEE DOI Link 0612
BibRef

Nagarajan, K., Slatton, K.C.,
Multiple-model MKS with Improved Learning/Prior Modeling,
ICIP05(I: 757-760).
IEEE DOI Link 0512
Multiscale Kalman Smoother BibRef

Vedaldi, A.[Andrea], Jin, H.L.[Hai-Lin], Favaro, P.[Paolo], Soatto, S.[Stefano],
KALMANSAC: Robust Filtering by Consensus,
ICCV05(I: 633-640).
IEEE DOI Link 0510
BibRef

Chen, L.[Liang], Mercorelli, P., Liu, S.,
A two-stage Kalman estimator for motion control using model predictive strategy,
ICARCV04(III: 1699-1704).
IEEE DOI Link 0412
BibRef

Mills, S., Pridmore, T.P., Hills, M.,
Tracking in a Hough Space with the Extended Kalman Filter,
BMVC03(xx-yy).
HTML Version. 0409
BibRef

de Freitas Zampolo, R., Seara, R.[Rui], Tobias, O.,
Evolutionary Programming in Image Restoration Via Reduced Order Model Kalman Filtering,
ICIP01(I: 221-224).
IEEE Abstract. IEEE Top Reference. 0108
BibRef

Southall, B., Buxton, B.F., Marchant, J.A.,
Controllability and Observability: Tools for Kalman Filter Design,
BMVC98(xx-yy). BibRef 9800

Ni, J.Q., Ho, K., Tse, K., Ni, J.S., and Shen, M.H.,
Multirate Kalman Filtering Approach for Optimal Two-Dimensional Signal Reconstruction from Noisy Subband Systems,
ICIP97(I: 157-160).
IEEE DOI Link BibRef 9700

Rao, R.P.N.[Rajesh P.N.],
Robust Kalman Filters for Prediction, Recognition, and Learning,
Department of Computer Science Univ. of RochesterTechnical Report 645 December, 1996. Kalman Filter. General technique.
Postscript Version. BibRef 9612

Chapter on Image Processing, Restoration, Enhancement, Filters, Image and Video Coding continues in
Adaptive Filters .