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...

This paper deals with the problem of motion-based segmentation of image sequences. Such partitions are multiple-purpose in dynamic scene analysis. We rst extract a texture-based partition using an unsupervised MRF approach. The regions obtained are then grouped according to a motion-based criterion. This grouping process relies on two motion estimation techniques and exploits contextual informa...

The recent development in image processing and analysis, moving from static images analysis to dynamic image analysis, has focused the research on the understanding of motion analysis and representation. The psychological evidence has shown that human perception system is more sensitive to moving objects than static objects. We have the ability to recognize diierent objects and their motion in ...

in many autonomous mobile applications, robots must be capable of analyzing motion of moving objects in their environment. duringmovement of robot the quality of images is affected by quakes of camera which cause high errors in image processing outputs. in thispaper, we propose a novel method to effectively overcome this problem using neural networks and kalman filtering theory. thistechnique u...

This paper presents a framework combining two prevailing approaches t o motion analysis: optical f low which describes motion at each point, and methods that define global motions for [arger regions. Image motion is represented b y layers, image regions whose coherent motion can be approximated b y some parametric motion model. The motion at every point is obtained b y the parametric motion est...

To My Parents iv ACKNOWLEDGEMENTS I wish to thank my advisor Bob Hummel for his advice and guidance, in particular for teaching me the mathematical approach to solving problems in vision, and for showing me how to present the results. I would like to thank Stephane Mallat for introducing me to the eld of visual motion analysis and for his encouragement and support. The experience with Rob Kelly...

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The paper computes the reliability of estimates of image motion parameters. The use of such measures of reliability to weight motion estimates improves significantly the performance of motion analysis tasks such as the recovery of 3D structure [1, 2]. The paper relates both the estimation error variance and the stability of the estimation algorithm with the spatial gradient of the image brightn...

Estimation Theoretic Analysis of Motion in Image Sequences by M. Dirk Robinson Estimating the motion (or dynamics) manifested in a set of images or an image sequence is a fundamental problem in both image and video processing and computer vision. From a computer vision perspective, much of what is interpretable in any real-world scene is reflected in the apparent motion. For instance, estimatin...

The analysis of color image sequence is very heavy if the analysis is carried out for each image. But, in many practical cases, there is no need to know the precise motion and shape. In other words, the rough estimation of motion and shape is sometimes practically enough to understand image sequence. To achieve this rough estimation of motion and shape speedily, a method using color multiplex i...