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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.




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 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.




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 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.


Content:
Front Matter....Pages -
2D Motion Description and Contextual Motion Analysis: Issues and New Models....Pages 1-15
Structure from Periodic Motion....Pages 16-24
3D SSD Tracking from Uncalibrated Video....Pages 25-37
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation....Pages 38-50
On the Relationship Between Image and Motion Segmentation....Pages 51-63
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models....Pages 64-75
Segregation of Moving Objects Using Elastic Matching....Pages 76-90
Local Descriptors for Spatio-temporal Recognition....Pages 91-103
A Generative Model of Dense Optical Flow in Layers....Pages 104-114
Analysis and Interpretation of Multiple Motions Through Surface Saliency....Pages 115-126
Dense Optic Flow with a Bayesian Occlusion Model....Pages 127-139
Back Matter....Pages -


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 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.


Content:
Front Matter....Pages -
2D Motion Description and Contextual Motion Analysis: Issues and New Models....Pages 1-15
Structure from Periodic Motion....Pages 16-24
3D SSD Tracking from Uncalibrated Video....Pages 25-37
Comparison of Edge-Driven Algorithms for Model-Based Motion Estimation....Pages 38-50
On the Relationship Between Image and Motion Segmentation....Pages 51-63
Motion Detection Using Wavelet Analysis and Hierarchical Markov Models....Pages 64-75
Segregation of Moving Objects Using Elastic Matching....Pages 76-90
Local Descriptors for Spatio-temporal Recognition....Pages 91-103
A Generative Model of Dense Optical Flow in Layers....Pages 104-114
Analysis and Interpretation of Multiple Motions Through Surface Saliency....Pages 115-126
Dense Optic Flow with a Bayesian Occlusion Model....Pages 127-139
Back Matter....Pages -
....
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