Amazon cover image
Image from Amazon.com

Spatial coherence for visual motion analysis : first international workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004 : revised papers / W. James MacLean (ed.).

By: SCVMA 2004 (2004 : Prague, Czech Republic)Contributor(s): MacLean, W. JamesMaterial type: TextTextPublisher number: 11676959Series: Serienbezeichnung | Lecture notes in computer science ; 3667.Publisher: Berlin ; New York : Springer, ©2006Description: 1 online resource (139 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783540325345; 3540325344; 3540325336; 9783540325338Other title: SCVMA 2004Subject(s): Computer vision -- Congresses | Motion perception (Vision) -- Congresses | Vision par ordinateur -- Congrès | Perception visuelle du mouvement -- Congrès | COMPUTERS -- Image Processing | PHOTOGRAPHY -- Techniques -- Digital | TECHNOLOGY & ENGINEERING -- Imaging Systems | COMPUTERS -- Digital Media -- Graphics Applications | Motion perception (Vision) | Vision par ordinateur | Perception visuelle du mouvement | Computer vision | Informatique | Computer vision | Motion perception (Vision) | Visual analysis | algoritmen | algorithms | computeranalyse | computer analysis | computergrafie | computer graphics | machine vision | beeldverwerking | image processing | computerwetenschappen | computer sciences | kunstmatige intelligentie | artificial intelligence | patroonherkenning | pattern recognition | Information and Communication Technology (General) | Informatie- en communicatietechnologie (algemeen)Genre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Print version:: Spatial coherence for visual motion analysis.DDC classification: 006.6 LOC classification: TA1634 | .S398 2004Other classification: TP302. 7-532 | SS 4800 | 004 | DAT 760f Online resources: Click here to access online
Contents:
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.
Action note: digitized 2010 committed to preserveSummary: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
eBook eBook e-Library

Electronic Book@IST

EBook Available
Total holds: 0

Includes bibliographical references and index.

Print version record.

Use copy Restrictions unspecified star MiAaHDL

Electronic reproduction. [Place of publication not identified] : HathiTrust Digital Library, 2010. MiAaHDL

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. MiAaHDL

http://purl.oclc.org/DLF/benchrepro0212

digitized 2010 HathiTrust Digital Library committed to preserve pda MiAaHDL

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.

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.

Powered by Koha