This work presents a real-time active vision tracking system based on log-polar image motion estimation with 2D geometric deformation models. We present a very efficient parametric motion estimation method, where most computation can be done offline. We propose a redundant parameterization for the geometric deformations, which improve the convergence range of the algorithm. A foveated image rep...

The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing such as video surveillance, object tracking, image stream compression or autonomous navigation systems. Real world computer vision highly depends on reliable, robust systems for recognition of motion cues to make accura...

The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimizing an energy made of a data and a regularity term. To date, the best performing methods rely on rather simple purely geometric regularizers favoring smooth motion. In this paper, we revisit regularization and show that...

We present an automatic system for retargeting a human body motion extracted from an image sequence into a new character in a still image. In contrast to analyzing the articulated motion of its skeleton in the previous vision-based human body tracking and posture recognition system, we use direct 2-D image warping based on a silhouette. At first, we represent the performer’s silhouette with the...

A pattern by Ouchi has the surprising property that small motions can cause illusory relative motion between the inset and background regions. The effect can be attained with small retinal motions or a slight jiggling of the paper and is robust over large changes in the patterns, frequencies and boundary shapes. In this paper, we explain that the cause of the illusion lies in the statistical di...

Motion detection in fly vision has been investigated experimentally and theoretically for half of a century, yet mechanistic insights into the neuronal computation have only started to emerge. In a recent issue of Nature, two studies provide major insights into how motion direction is extracted from the image flow projected onto the retina.

In the context ofreal-time collision /obstacle avoidance this paper investigates a direct -method of estimating dense scene structure and image motion. Our proposed method combines both stereo vision (invoIving geometric constraints) and optical flow (involving photometric constraints). It is applied to multiple motion images (i.e., images with vehicle ego-motion plus obstacle motion). Modijica...

Numerous findings indicate that spatial phase bears an important cognitive information. Distortion of phase affects topology of edge structures and makes images unrecognizable. In turn, appropriately phase-structured patterns give rise to various illusions of virtual image content and apparent motion. Despite a large body of phenomenological evidence not much is known yet about the role of phas...

This article presents results of image enhancement for robot vision. Results are obtained by superresolution techniques in wavelet domain. The calculated motion of wavelet coefficients in stationary image can enhance image quality. It can be used as interpolation information for increasing resolution. This is basis for wavelet quasi-superresolution, where one low-resolution image is interpolate...

Pixel-parallel PE and SIMD architectures are widely used in high-speed image processing to enhance computing power. With fully exploiting the data level parallelism of lowand middle-level image processing, SIMD architecture is able to finish great amount of computation with much less instruction cycle thus satisfy the high-speed system requirement. The main computation parts in those SIMD image...