In this paper, we present a robust method to estimate the three-dimensional ego-motion of an observer moving in a static environment. This method combines the optical ow elds observed with multiple cameras to avoid the ambiguity of 3-D motion recovery due to small eld of view and small depth variation in the eld of view. Two residual functions are proposed to estimate the ego-motion for diieren...

In this study sub-pixel motion estimation using one-bit transform is presented. The utilization of low bit depth representations for full-pixel motion estimation exist in the literature [1,7]. However sub-pixel motion estimation employing these kinds of transforms has not been tried until now. In this paper, it is shown that one-bit transform can also be utilized for sub-pixel motion estimation...

This chapter addresses the development of a new approach to motion estimation which rely on a semantic representation of the scene in terms of objects. More speciically, motion models, segmentation-based motion estimation, spatio-temporal segmentation and tracking are more thoroughly discussed. Simulation results are presented to show the eeciency of the new approach.

In this paper we address the problem of motion estimation failure in degraded image sequences. This failure is caused by some complex events that take place in the image. As a result, the sequence of operations that rely on the motion estimation process, such as motion compensation and motion picture restoration, will fail as well. The statistical analysis of the complex event areas indicates t...

II. 3-D Motion Estimation The approach for 3-D motion estimation in this project has two stages: 3-D shape reconstruction and model-based 3-D motion estimation. The object shape in a video sequence is usually unknown. A structure from motion algorithm is first applied to reconstruct an approximate 3D shape from several views of the video sequence. With the approximate object shape, a model-base...

In rainy scenes, visibility can be degraded by raindrops which have adhered to the windscreen or camera lens. In order to resolve this degradation, we propose a method that automatically detects and removes adherent raindrops. The idea is to use long range trajectories to discover the motion and appearance features of raindrops locally along the trajectories. These motion and appearance feature...

This paper describes a new approach to the problem of motion estimation for the coding of image sequences. The goal is to obtain an eecient description (parametrization) of temporal variations between two successive images in a sequence. To achieve this we propose to use the standard hypothesis of luminance constancy along a motion trajectory simultaneously introducing a polynomial representati...

Interpolation of video frames with the purpose of increasing the frame rate requires the estimation of motion in the image so as to interpolate pixels along the path of the objects. In this paper, the specific challenges of low-rate video frame interpolation are illustrated by choosing one well-performing algorithm for high-frame-rate interpolation (Castango 1996) and applying it to low frame r...