This paper deals with the problem of testing hypothesis when both the hypotheses and the available data are fuzzy. First, four different kinds of fuzzy hypotheses are defined. Then, a procedure is developed for constructing the fuzzy point estimation based on fuzzy data. Also, the concept of fuzzy test statistic is defined based on the α-cuts of the fuzzy null hypothesis and the α-cuts of the c...

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...

Cardiovascular decision support is one area of increasing research interest. On-going collaborations between clinicians and computer scientists are looking at the application of knowledge discovery in databases to the area of patient diagnosis, based on clinical records. A fuzzy rule-based system for risk estimation of cardiovascular patients is proposed. It uses a group of fuzzy rules as a kno...

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...

Motion estimation and segmentation poses challenges in dynamic scenarios where multiple motions are mixed up and interdependent. However, existing approaches in 2D motion field usually require the mixed motions to be independent. Algorithms incorporating 3D information have proven to be superior to purely 2D approaches in many studies. Inspired by this idea, we propose a new algorithm for evolv...