Motion estimation using higher order statistics
نویسندگان
چکیده
منابع مشابه
Acoustic Spectral Estimation using Higher Order Statistics
Assuming an auto regressive (AR) lter model driven by a non-Gaussian white noise we formulate a general parameter estimation problem. A maximum likelihood solution gives an AR estimate of the l-ter and the probability distribution function parameters for non-Gaussian input. The proposed method is optimal in the information theoretic sense, giving the most probable model for the source and lter ...
متن کاملMotion Estimation Using Higher Order Statistics [Correspondence] - Image Processing, IEEE Transactions on
The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimating motion even for small regions or blocks. Using higher than second-order statistics is appropriate in case the image sequence is severely corrupted by additive Gaussian noise. Some results are presented and compared to those obtained from the mean kurtosis and th...
متن کاملNew disparity map estimation using higher order statistics
This paper presents a new algorithm of disparity map estimation. Originality of this method lies in the process of dense disparity map estimation using the dynamic programming constrained by interest points and using Higher Order Statistics (HOS) criteria for matching noisy images. Experiments with noisy real images have validated our method and have clearly shown the improvement over the exist...
متن کاملLow rank estimation of higher order statistics
| Low rank estimators for higher order statistics are considered in this paper. Rank reduction methods ooer a general principle for trading estimator bias for reduced estimator variance. The bias-variance tradeoo is analyzed for low rank estimators of higher order statistics using a tensor product formulation for the moments and cumulants. In general the low rank estimators have a larger bias a...
متن کاملAdaptive filtering using Higher Order Statistics (HOS)
The performed job, in this study, consists in studying adaptive filters and higher order statistics (HOS) to ameliorate their performances, by extension of linear case to non linear filters via Volterra series. This study is, principally, axed on: Choice of the adaptation step and convergence conditions. Convergence rate. Adaptive variation of the convergence factor, according to the inpu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Image Processing
سال: 1996
ISSN: 1057-7149,1941-0042
DOI: 10.1109/83.503924