Time-varying multispectral observations of clouds from meteorological satellites are used to estimate cloud-top heights (structure) and cloud winds (semifluid motion). Stereo image pairs over several time steps were acquired by two geostationary satellites with synchronized scanning instruments. Cloud-top height estimation from these image pairs is performed using an improved automatic stereo a...

In recent years, interest in motion analysis has increased with advances in processing capabilities. The usual input in a motion analysis system is an image sequence, with a corresponding increase in the amount of processed data. A typical motion problem is to analyze the motion within 2D image data corresponding to a sequence of frames, of a 3D scene. In computer vision a number of techniques ...

Images acquired during free breathing using first-pass gadolinium-enhanced myocardial perfusion magnetic resonance imaging (MRI) exhibit a quasiperiodic motion pattern that needs to be compensated for if a further automatic analysis of the perfusion is to be executed. In this work, we present a method to compensate this movement by combining independent component analysis (ICA) and image regist...

This paper presents new approaches in characterizing and segmenting the content of video. These approaches are developed based upon the pattern analysis of spatio-temporal slices. While traditional approaches to motion sequence analysis tend to formulate computational methodologies on two or three adjacent frames, spatio-temporal slices provide rich visual patterns along a larger temporal scale...

This paper presents a review, analysis and comparison of numerical methods implementing the curvature motion and the affine curvature motion for 2D images, shapes, and curves. These curvature scale spaces allow, in principle, to compute an accurate multiscale curvature in digital images. The fastest and most invariant of them can be used in a complete image processing chain. This numerical chai...

This paper addresses two image sequence analysis issues under a common framework. These tasks are, "rst, motion-based segmentation and second, updating and tracking over time of a spatial partition of an image. By spatial partition, we mean that constituent regions display an intensity, color or texture-based homogeneity criterion. Several issues in dynamic scene analysis or in image sequence c...

This paper describes e orts aimed at more objectively and accurately quantifying the local, regional and global function of the left ventricle (LV) of the heart from four{dimensional (4D) image data. Using our shape{based image analysis methods, point{wise myocardial motion vector elds between successive image frames through the entire cardiac cycle will be computed. Quantitative LV motion, thi...

Because of stringent bandwidth requirement, very low bitrate video coding usually uses lower frame rates in order to comply with the bitrate constraint. With a reasonably low frame rate, it can reserve basic visual information of an image sequence. However, on special occasions or for specific human understanding purposes, it can barely provide enough temporal resolution. In these cases, we wou...

When a person tracks a small moving object, the visual images in the background of the visual scene move across his/her retina. It, however, is possible to estimate the actual motion of the images despite the eye-movement-induced motion. To understand the neural mechanism that reconstructs a stable visual world independent of eye movements, we explored areas MT (middle temporal) and MST (medial...

Motion blur is a common degradation which usually brings difficulties to subsequent image process and analysis of a machine vision system. In this paper, an effective restoration scheme is proposed for high-overlapped image sequence with composite motion blurs which refer to the blurs caused during the exposure time by dual relative motions among the background of the scene, the moving objects ...