LEADER 04823nam 22008055 450 001 9910483242903321 005 20251226203109.0 010 $a3-540-32534-4 024 7 $a10.1007/11676959 035 $a(CKB)1000000000232829 035 $a(SSID)ssj0000320150 035 $a(PQKBManifestationID)11215253 035 $a(PQKBTitleCode)TC0000320150 035 $a(PQKBWorkID)10347259 035 $a(PQKB)10292214 035 $a(DE-He213)978-3-540-32534-5 035 $a(MiAaPQ)EBC3067915 035 $a(PPN)123131669 035 $a(EXLCZ)991000000000232829 100 $a20100715d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aSpatial Coherence for Visual Motion Analysis $eFirst International Workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004, Revised Papers /$fedited by W. James MacLean 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (IX, 141 p.) 225 1 $aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v3667 300 $aBibliographic Level Mode of Issuance: Monograph 311 08$a3-540-32533-6 320 $aIncludes bibliographical references and index. 327 $a2D 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. 330 $aMotionanalysisisacentralproblemincomputervision,andthepasttwodecades have seen important advances in this ?eld. However, visual motion is still often considered on a pixel-by-pixel basis, even though this ignores the fact that image regions corresponding to a single object usually undergo motion that is highly correlated. Further, it is often of interest to accurately measure the boundaries of moving regions. In the case of articulated motion, especially human motion, discovering motion boundaries is non-trivial but an important task nonetheless. Another related problem is identifying and grouping multiple disconnected - gions moving with similar motions, such as a ?ock of geese. Early approaches focused on measuring motion of either the boundaries or the interior, but s- dom both in unison. For several years now, attempts have been made to include spatial coherence terms into algorithms for 2- and 3-D motion recovery, as well as motion boundary estimation. This volume is a record of papers presented at the First International Wo- shop on Spatial Coherence for Visual Motion Analysis, held May 15th, 2004 in Prague, in conjunction with the European Conference on Computer Vision (LNCS 3021?4). The workshop examined techniques for integrating spatial - herence constraints during motion analysis of image sequences. The papers were revised after the workshop to allow for incorporation of feedback from the workshop. 410 0$aImage Processing, Computer Vision, Pattern Recognition, and Graphics,$x3004-9954 ;$v3667 606 $aComputer vision 606 $aImage processing$xDigital techniques 606 $aPattern recognition systems 606 $aArtificial intelligence 606 $aComputer graphics 606 $aAlgorithms 606 $aComputer Vision 606 $aComputer Imaging, Vision, Pattern Recognition and Graphics 606 $aAutomated Pattern Recognition 606 $aArtificial Intelligence 606 $aComputer Graphics 606 $aAlgorithms 615 0$aComputer vision. 615 0$aImage processing$xDigital techniques. 615 0$aPattern recognition systems. 615 0$aArtificial intelligence. 615 0$aComputer graphics. 615 0$aAlgorithms. 615 14$aComputer Vision. 615 24$aComputer Imaging, Vision, Pattern Recognition and Graphics. 615 24$aAutomated Pattern Recognition. 615 24$aArtificial Intelligence. 615 24$aComputer Graphics. 615 24$aAlgorithms. 676 $a006.6 701 $aMacLean$b W. James$01760866 712 12$aSCVMA 2004 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483242903321 996 $aSpatial coherence for visual motion analysis$94200000 997 $aUNINA