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Spatial coherence for visual motion analysis : first international workshop, SCVMA 2004, Prague, Czech Republic, May 15, 2004 : revised papers

Author: W James MacLean
Publisher: Berlin ; New York : Springer, ©2006.
Series: Lecture notes in computer science, 3667.
Edition/Format:   eBook : Document : Conference publication : EnglishView all editions and formats
Database:WorldCat
Summary:

Constitutes the refereed post-proceedings of the First International Workshop on Spatial Coherence for Visual Motion Analysis, 2004, that was held in May 2004. This title presents eleven research  Read more...

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Genre/Form: Electronic books
Conference papers and proceedings
Congresses
Congrès
Additional Physical Format: Print version:
SCVMA 2004 (2004 : Prague, Czech Republic).
Spatial coherence for visual motion analysis.
Berlin ; New York : Springer, ©2006
(DLC) 2006922617
(OCoLC)67831347
Material Type: Conference publication, Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: W James MacLean
ISBN: 9783540325345 3540325344 3540325336 9783540325338
OCLC Number: 262692667
Reproduction Notes: Electronic reproduction. [S.l.] : HathiTrust Digital Library, 2010. MiAaHDL
Description: 1 online resource (139 pages) : illustrations.
Details: 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.
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.
Series Title: Lecture notes in computer science, 3667.
Other Titles: SCVMA 2004
Responsibility: W. James MacLean (ed.).
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