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Spatial Coherence for Visual Motion Analysis: First International Workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004, Revised Papers (Lecture Notes in Computer Science, 3667) 🔍
W. James MacLean,Springer Springer Spektrum. in Springer-Verlag GmbH, Springer Nature, Berlin, 2006
英语 [en] · PDF · 10.9MB · 2006 · 📗 未知类型的图书 · 🚀/duxiu/ia · Save
描述
Motionanalysisisacentralproblemincomputervision,andthepasttwodecades have seen important advances in this ?eld. However, visual motion is still often considered on a pixel-by-pixel basis, even though this ignores the fact that image regions corresponding to a single object usually undergo motion that is highly correlated. Further, it is often of interest to accurately measure the boundaries of moving regions. In the case of articulated motion, especially human motion, discovering motion boundaries is non-trivial but an important task nonetheless. Another related problem is identifying and grouping multiple disconnected - gions moving with similar motions, such as a ?ock of geese. Early approaches focused on measuring motion of either the boundaries or the interior, but s- dom both in unison. For several years now, attempts have been made to include spatial coherence terms into algorithms for 2- and 3-D motion recovery, as well as motion boundary estimation. This volume is a record of papers presented at the First International Wo- shop on Spatial Coherence for Visual Motion Analysis, held May 15th, 2004 in Prague, in conjunction with the European Conference on Computer Vision (LNCS 3021–4). The workshop examined techniques for integrating spatial - herence constraints during motion analysis of image sequences. The papers were revised after the workshop to allow for incorporation of feedback from the workshop.
Erscheinungsdatum: 30.03.2006
备选标题
Lecture Notes in Computer Science 3667 Spatial Coherence for Visual Motion Analysis First International Workshop,SCVMA 2004
备选作者
SCVMA 2004 (2004: Prague, Czech Republic); MacLean, W. James
备选作者
W James MacLean; SCVMA 2004
备选作者
W. James MacLean (ed.)
备用出版商
Springer Berlin Heidelberg : Imprint: Springer
备用出版商
Steinkopff. in Springer-Verlag GmbH
备用出版商
Berlin ; New York: Springer
备用出版商
Springer London, Limited
备用版本
Lecture notes in computer science -- 3667., Berlin, New York, Germany, 2006
备用版本
Lecture notes in computer science, 3667, Berlin Heidelberg, 2006
备用版本
LNCS sublibrary, 3667, 1st ed. 2006, Berlin, Heidelberg, 2006
备用版本
1 edition, May 5, 2006
备用版本
Germany, Germany
元数据中的注释
Includes bibliographical references and index.
Also issued online.
备用描述
1 online resource (139 pages) :
Motionanalysisisacentralproblemincomputervision, andthepasttwodecades have seen important advances in this?eld. However, visual motion is still often considered on a pixel-by-pixel basis, even though this ignores the fact that image regions corresponding to a single object usually undergo motion that is highly correlated. Further, it is often of interest to accurately measure the boundaries of moving regions. In the case of articulated motion, especially human motion, discovering motion boundaries is non-trivial but an important task nonetheless. Another related problem is identifying and grouping multiple disconnected - gions moving with similar motions, such as a?ock of geese. Early approaches focused on measuring motion of either the boundaries or the interior, but s- dom both in unison. For several years now, attempts have been made to include spatial coherence terms into algorithms for 2- and 3-D motion recovery, as well as motion boundary estimation. This volume is a record of papers presented at the First International Wo- shop on Spatial Coherence for Visual Motion Analysis, held May 15th, 2004 in Prague, in conjunction with the European Conference on Computer Vision (LNCS 3021-4). The workshop examined techniques for integrating spatial - herence constraints during motion analysis of image sequences. The papers were revised after the workshop to allow for incorporation of feedback from the workshop
Includes bibliographical references and index
Print version record
Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library
Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002
digitized 2010
2D Motion Description and Contextual Motion Analysis: Issues and New Models -- Structure from Periodic Motion -- 3D SSD Tracking from Uncalibrated Video -- Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation -- On the Relationship Between Image and Motion Segmentation -- Motion Detection Using Wavelet Analysis and Hierarchical Markov Models -- Segregation of Moving Objects Using Elastic Matching -- Local Descriptors for Spatio-temporal Recognition -- A Generative Model of Dense Optical Flow in Layers -- Analysis and Interpretation of Multiple Motions Through Surface Saliency -- Dense Optic Flow with a Bayesian Occlusion Model
备用描述
This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, SCVMA 2004, held in Prague, Czech Republic in May 2004 in conjuction with the eighth European Conference on Computer Vision, ECCV 2004 (see LNCS volumes 3021/3022/3023/3024). The 11 revised full research papers presented went through two rounds of reviewing and improvement. The papers in this volume cover a wide range in the field of motion analysis that is a central problem in computer vision. The workshop examined techniques for integrating spatial coherence constraints during motion analysis of image sequences
备用描述
<p>This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, 2004, held in May 2004. The eleven revised full research papers presented went through two rounds of reviewing and improvement. The papers in this volume cover a wide range in the field of motion analysis that is a central problem in computer vision. The workshop examined techniques for integrating spatial coherence constraints during motion analysis of image sequences.</p>
开源日期
2023-06-28
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