Motion Analysis and Image Sequence Processing

Motion Analysis and Image Sequence Processing

Author: M. Ibrahim Sezan

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 499

ISBN-13: 1461532361

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An image or video sequence is a series of two-dimensional (2-D) images sequen tially ordered in time. Image sequences can be acquired, for instance, by video, motion picture, X-ray, or acoustic cameras, or they can be synthetically gen erated by sequentially ordering 2-D still images as in computer graphics and animation. The use of image sequences in areas such as entertainment, visual communications, multimedia, education, medicine, surveillance, remote control, and scientific research is constantly growing as the use of television and video systems are becoming more and more common. The boosted interest in digital video for both consumer and professional products, along with the availability of fast processors and memory at reasonable costs, has been a major driving force behind this growth. Before we elaborate on the two major terms that appear in the title of this book, namely motion analysis and image sequence processing, we like to place them in their proper contexts within the range of possible operations that involve image sequences. In this book, we choose to classify these operations into three major categories, namely (i) image sequence processing, (ii) image sequence analysis, and (iii) visualization. The interrelationship among these three categories is pictorially described in Figure 1 below in the form of an "image sequence triangle".


Computer Vision Analysis of Image Motion by Variational Methods

Computer Vision Analysis of Image Motion by Variational Methods

Author: Amar Mitiche

Publisher: Springer Science & Business Media

Published: 2013-09-05

Total Pages: 212

ISBN-13: 3319007114

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This book presents a unified view of image motion analysis under the variational framework. Variational methods, rooted in physics and mechanics, but appearing in many other domains, such as statistics, control, and computer vision, address a problem from an optimization standpoint, i.e., they formulate it as the optimization of an objective function or functional. The methods of image motion analysis described in this book use the calculus of variations to minimize (or maximize) an objective functional which transcribes all of the constraints that characterize the desired motion variables. The book addresses the four core subjects of motion analysis: Motion estimation, detection, tracking, and three-dimensional interpretation. Each topic is covered in a dedicated chapter. The presentation is prefaced by an introductory chapter which discusses the purpose of motion analysis. Further, a chapter is included which gives the basic tools and formulae related to curvature, Euler Lagrange equations, unconstrained descent optimization, and level sets, that the variational image motion processing methods use repeatedly in the book.


Motion and Structure from Image Sequences

Motion and Structure from Image Sequences

Author: Juyang Weng

Publisher: Springer Science & Business Media

Published: 2013-03-07

Total Pages: 458

ISBN-13: 3642776434

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Motion and Structure from Image Sequences is invaluable reading for researchers, graduate students, and practicing engineers dealing with computer vision. It presents a balanced treatment of the theoretical and practical issues, including very recent results - some of which are published here for the first time. The topics covered in detail are: - image matching and optical flow computation - structure from stereo - structure from motion - motion estimation - integration of multiple views - motion modeling and prediction Aspects such as uniqueness of the solution, degeneracy conditions, error analysis, stability, optimality, and robustness are also investigated. These details together with the fact that the algorithms are accessible without necessarily studying the rest of the material, make this book particularly attractive to practitioners.


Motion Analysis for Image Sequence Coding

Motion Analysis for Image Sequence Coding

Author: G. Tziritas

Publisher:

Published: 1994

Total Pages: 402

ISBN-13:

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This volume is the fourth in the book series, Advances in Image Communication, a series dedicated to exploring the rapidly evolving, multidisciplinary field of image communications. Each publication stands alone as a state-of-the-art reference work in its particular area of expertise. It also forms an integral part of the comprehensive overview of developments across the field, which the series offers as a whole. Motion Analysis for Image Sequence Coding documents the technical advances made through the years in dealing with motion in image sequences - from straightforward coarse approaches to complicated algorithms. It is timely because of the unprecedented effort which is made to establish a set of international standards for the digital compression of moving pictures and television signals. These standards rely heavily on motion estimation and compensation techniques and will be exploited on a large scale in multimedia applications as well as in intelligent systems. The book will be of prime importance, not only to active engineers and researchers in the field, but also by serving as a basic educational tool.


Image Motion Estimation by Clustering

Image Motion Estimation by Clustering

Author: Amit Bandyopadhyay

Publisher:

Published: 1991

Total Pages: 23

ISBN-13:

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Abstract: "Image motion is estimated by matching feature 'interest' points in different frames of video image sequences. The matching is based on local similarity of the displacement vectors. Clustering in the displacement vector space is used to determine the set of plausible match vectors. Subsequently, a similarity based algorithm performs the actual matching. The feature points are computed using a multiple filter image decomposition operator. The algorithm has been tested on synthetic as well as real video images. The novelty of the approach consists of the fact that it handles multiple motions and performs motion segmentation."