Recursive Estimation 3D motion estimate through optical flow fields is also called interface motion estimation”, since it only estimate the relative motion between two frames, to obtain absolute motion, a recursive motion estimation system was first used. In this system, the global motion can be given in the following way are the absolute motion at time instant and, respectively, the two-view m...

This paper presents a novel pixelwise representation for visual tracking that models both the spatial structure and dynamics of a target in a unified fashion. The representation is derived from spatiotemporal energy measurements that capture underlying local spacetime orientation structure at multiple scales. For interframe motion estimation, the feature representation is instantiated within a ...

In this paper, an approach for 3D motion estimation of head and shoulders of persons in videophone sequences is presented. Since head and shoulders are linked together by the neck, constraints for the motion of head and shoulders exist which are exploited to improve the motion estimation. In this paper, the human neck joint is modelled by a spherical joint between head and shoulders and its 3D ...

Performance estimation for feature tracking is a critical issue, <ffeature tracking results are to be used intelligently. In this paper, we de~ive quantitative measures for thespatial accuracy of a particular feature tracker. This method uses the results from the sum-of-squared-differences correlation measure commonly used for feature tracking to estimate the accuracy (in the image plane) of th...

This paper describes a method for camera motion estimation based on real endoscope images and CT images for an endoscope navigation system. We have developed an endoscope navigation system that shows the navigation information during an endoscope examination. In this system, we need to Out side view and estimate the real endoscope camera motion. Our method tracks the camera motion by using an i...

Recently a large amount of new chord annotations have been made available. This raises hopes for further development in automatic chord estimation. While more data seems to imply better performance, a major challenge however, is the wide variety of genres covered by these new data. As a result, the genre-independent training scheme as is common today is bound to fail. In this paper we investiga...

Given a sequence of blurred low resolution images, the aim of this work is to produce a sequence of higher resolution and restored images. It is assumed that the point spread function of the given imaging process is a combination of a known blurring function and an estimated local motion function. The local motion estimation is obtained by the respective group delays of local adaptive filters. ...

This paper describes an algorithm for translational motion estimation near a comet surface using scanning laser rangefinder data. Our technique is based terrain map generation from rangefinder data followed by terrain map alignment. The output of our algorithm is estimates of rigid translational motion and motion covariance between scans. Our algorithms have been tested using data acquired with...