Estimating Object Motion and Structure in Long Image Sequences PDF Download

Author: Xudong Yang
Publisher:
ISBN:
Category : Equations of motion
Languages : en
Pages : 110

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Book Description

Author: Jen-yu Shieh
Publisher:
ISBN:
Category : Imaging systems
Languages : en
Pages : 252

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Book Description

Author: Juyang Weng
Publisher: Springer Science & Business Media
ISBN: 3642776434
Category : Computers
Languages : en
Pages : 458

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Book Description
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.

Author: Ting-Hu Wu
Publisher:
ISBN:
Category :
Languages : en
Pages : 316

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Book Description

Author: M. Ibrahim Sezan
Publisher: Springer Science & Business Media
ISBN: 1461532361
Category : Technology & Engineering
Languages : en
Pages : 499

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Book Description
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".

Author: Pelopidas Lappas
Publisher:
ISBN:
Category :
Languages : en
Pages : 194

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Book Description

Author: Ting-Hu Wu
Publisher:
ISBN:
Category : Computer vision
Languages : en
Pages : 51

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Book Description
Experimental results from simulated imagery as well as several real image sequences are included. For the simulated imagery, the bias and the variance of the estimators are studied by the Monte Carlo method; while for the real imagery, the ground truth of the motion and structure parameters (when available) is compared with the computed results."

Author: Theodore James Broida
Publisher:
ISBN:
Category :
Languages : en
Pages : 492

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Book Description

Author: T. S. Huang
Publisher: Springer Science & Business Media
ISBN: 3642819354
Category : Computers
Languages : en
Pages : 759

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Book Description
This volume contains the proceedings of the NATO Advanced Study Institute on "Image Sequence Processing and Dynamic Scene Analysis" held 21 June - 2 July, 1982 in Hotel Maritim, Braunlage/Harz, Federal Republic of Germany. The organizing eommittee of the institute consists of T.S. Huang (Director), H.G. Musmann (Co Director), H.H. Nagel (Consultant), and C.E. Liedtke and W. Geuen (Local 'arrangement). This Institute was devoted to the rapidly emerging field of image sequence processing and dynamic scene analysis which has man! important applications in cluding target tracking, television bandwidth compression, highway traffic moni toring, and analysis of heart wall motion for medical diagnosis. The lectures and discussions in this Institute fell into three overlapping categories: Motion estimation; pattern recognition and artificial intelligence techniques in dynamic scene analysis; and, applications. 1) Motion estimation - One of the most important problems in image sequence analysis and dynamic scene analysis is displacement and motion estimation. For example, in interframe coding using temporal DPCM, displacement estimation and compensation can improve efficiency significantly. Also, estimated motion parameters can be powerful cues in target segmentation, detection, and classification. In this Institute, a number of recently developed techniques for displacement and motion estimation were discussed.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 148

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Book Description
Estimation of structure and six-degree-of-freedom motion of maneuvering objects through measurements of feature positions in long, multiple- camera image sequences is widely recognized to have broad industrial military and space applications, particularly in the control of autonomous systems. This report focuses on the case of maneuvering objectives thereby removing restrictive assumptions concerning the mode of translational and rotational motion which are commonly employed in many existing methods. Object maneuvers, being' smooth and time correlated, are modelled as first-order Gauss-Markov processes for both translational and rotational motion. In the literature, rotational motion is often parameterized with unit quaternions even though constrains on the quaternion norm are not easily enforced, roll-pitch-yaw parameterizations have been reported to be poorly behaved and have led to computationally demanding implementations, and results using the Euler angle- axis parameterization in recursive motion and structure estimation are not available. In this report, six-degree-of-freedom, nonlinear, approximate state estimation filters for quaternion, roll-pitch-yaw and angle-axis parameterizations are compared in terms of estimation performance for maneuvering object trajectories. Special consideration is given to the problem of imposing unit norm on the estimated quaternion since previously proposed methods led to filter instability, particularly in angular velocity estimation. Motion, Motion analysis, Structure fron motion, Maneuvering objects, Target tracking, Kalman filtering, Extended Kalman filtering, Quaternions, Angle axis, Roll pitch yaw, Rotational motion, Stereo, Image sequences.