Cargando…
Spatial Coherence for Visual Motion Analysis First International Workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004, Revised Papers /
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 tha...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2006.
|
| Edición: | 1st ed. 2006. |
| Colección: | Image Processing, Computer Vision, Pattern Recognition, and Graphics ;
3667 |
| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-540-32534-5 | ||
| 003 | DE-He213 | ||
| 005 | 20220115071111.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 100715s2006 gw | s |||| 0|eng d | ||
| 020 | |a 9783540325345 |9 978-3-540-32534-5 | ||
| 024 | 7 | |a 10.1007/11676959 |2 doi | |
| 050 | 4 | |a TA1634 | |
| 072 | 7 | |a UYQV |2 bicssc | |
| 072 | 7 | |a COM012000 |2 bisacsh | |
| 072 | 7 | |a UYQV |2 thema | |
| 082 | 0 | 4 | |a 006.37 |2 23 |
| 245 | 1 | 0 | |a Spatial Coherence for Visual Motion Analysis |h [electronic resource] : |b First International Workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004, Revised Papers / |c edited by W. James MacLean. |
| 250 | |a 1st ed. 2006. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2006. | |
| 300 | |a IX, 141 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; |v 3667 | |
| 505 | 0 | |a 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. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Computer vision. | |
| 650 | 0 | |a Image processing-Digital techniques. | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Computer graphics. | |
| 650 | 0 | |a Algorithms. | |
| 650 | 1 | 4 | |a Computer Vision. |
| 650 | 2 | 4 | |a Computer Imaging, Vision, Pattern Recognition and Graphics. |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 650 | 2 | 4 | |a Artificial Intelligence. |
| 650 | 2 | 4 | |a Computer Graphics. |
| 650 | 2 | 4 | |a Algorithms. |
| 700 | 1 | |a MacLean, W. James. |e editor. |4 edt |4 http://id.loc.gov/vocabulary/relators/edt | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783540820666 |
| 776 | 0 | 8 | |i Printed edition: |z 9783540325338 |
| 830 | 0 | |a Image Processing, Computer Vision, Pattern Recognition, and Graphics ; |v 3667 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/11676959 |z Texto Completo |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-SXCS | ||
| 912 | |a ZDB-2-LNC | ||
| 950 | |a Computer Science (SpringerNature-11645) | ||
| 950 | |a Computer Science (R0) (SpringerNature-43710) | ||