Low-level vision is a fundamental area of computer vision that is concerned with the analysis of digital images at the pixel level and the computation of other dense, pixel-based representations of scenes such as depth and motion. Many of the algorithms and models in low-level vision rely on a representation of prior knowledge about images or other dense scene representations. In the case of im...

The paper reports about a performance comparison within a joint project of computer vision, and sport and exercise sciences. The project is directed on the understanding of human motion based on shape features and kinetic studies. Three shape recovery techniques, a traditional technique as used in sport and exercise sciences (manual measurement based on an elliptical zone assumption) and two co...

It has been argued that when an observer moves, a contingent retinal-image motion of a stimulus would strengthen the perceived glossiness. This would be attributed to the veridical perception of three-dimensional structure by motion parallax. However, it has not been investigated whether the effect of motion parallax is more than that of retinal-image motion of the stimulus. Using a magnitude e...

Motion detection/estimation plays a crucial role in dynamic visual tracking. Whether a dynamic visual tracking system can successfully track a moving target closely depends on the quality of motion detection/estimation results. In dynamic visual tracking, the camera used to capture images is not stationary, so any slight vibration of the camera motion or the target motion can lead to a blurry i...

This paper deals with the problem of obstacle detection in traffic applications. The proposed device allows a diver to receive the current road and vehicle environment information. The environment perception is performed through a fast processing of image sequence acquired from a vision system embedded in a vehicle. The approach is based on frame motion analysis. Firstly, the road motion is com...

Image jitters occur in the video of the autonomous robot moving on bricks road, which will reduce robot operation precision based on vision. In order to compensate the image jitters, the affine transformation kinematics were established for obtaining the six image motion parameters. The feature point pair detecting method was designed based on Eigen-value of the feature windows gradient matrix,...

To date, the overwhelming use of motion in computational vision has been to recover the three-dimensional structure of the scene. We propose that there are other, more powerful, uses for motion. Toward this end, we deene dynamic perceptual organization as an extension of the traditional (static) perceptual organization approach. Just as static perceptual organization groups coherent features in...

To date, the overwhelming use of motion in computational vision has been to recover the three-dimensional structure of the scene. We propose that there are other, more powerful, uses for motion. Toward this end, we deene dynamic perceptual organization as an extension of the traditional (static) perceptual organization approach. Just as static perceptual organization groups coherent features in...

The vision system of an Autonomous Land Vehicle is required to handle complex dynamic scenes. Vehicle motion and individually moving objects in the field of view contribute to a continuously changing camera image. It is the purpose of motion understanding to find consistent threedimensional interpretations for these changes in the image sequence. We present a new approach to this problem, which...

Dominant motion estimation in video sequence is a task that must be often be solved in Computer Vision problems but involves a high computational cost due to the overwhelming amount of data to be treated when working in image domain. In this paper we introduce a novel technique to perform motion analysis in video sequences taking advantage of the motion information of MPEG streams and its struc...