Robust Motion Estimation for Luminance Fluctuation Sequence

Robust Estimation for Motion Parameters

The performance of least squares method ca'n be improved by changing the error metric so that points which lie far from the bulk of data do not influence the final value—that is to reject the outliers. In this paper, the combination of two robust estimators are used to obtain motion parameters of a camera from matched image features. Results obtained show that the robust estimator has the abili...

Robust ego-motion estimation

This paper aims to develop a simple algorithm for determining the direction of ego-motion of a monocular observer in a static environment. Rather than returning a single direction the algorithm returns a set of motion directions known to contain the true direct tion. Translational motion can be arbitrary. The algorithm is based on one invented by Horn and Weldon [1]. It uses only normal compone...

Adaptive search area for fast motion estimation

In this paper a new method for determining the search area for motion estimation algorithm based on block matching is suggested. In the proposed method the search area is adaptively found for each block of a frame. This search area is similar to that of the full search (FS) algorithm but smaller for most blocks of a frame. Therefore, the proposed algorithm is analogous to FS in terms of reg...

Robust Motion Estimation Using Spatialgabor

Robust Reweighted MAP Motion Estimation

This paper proposes a motion estimation algorithm that is robust to motion discontinuity and noise. The proposed algorithm is constructed by embedding the least median squares (LMedS) of robust statistics into the maximum a posteriori (MAP) estimator. Difficulties in accurate estimation of the motion field arise from the smoothness constraint and the sensitivity to noise. To cope robustly with ...