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Statistical Methods in Video Processing

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Cover of 'Statistical Methods in Video Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Towards Complete Free-Form Reconstruction of Complex 3D Scenes from an Unordered Set of Uncalibrated Images
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    Chapter 2 Geometric Structure of Degeneracy for Multi-body Motion Segmentation
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    Chapter 3 Virtual Visual Hulls: Example-Based 3D Shape Inference from Silhouettes
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    Chapter 4 Unbiased Errors-In-Variables Estimation Using Generalized Eigensystem Analysis
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    Chapter 5 Probabilistic Tracking of the Soccer Ball
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    Chapter 6 Multi-Model Component-Based Tracking Using Robust Information Fusion
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    Chapter 7 A Probabilistic Approach to Large Displacement Optical Flow and Occlusion Detection
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    Chapter 8 Mean-Shift Blob Tracking with Kernel-Color Distribution Estimate and Adaptive Model Update Criterion
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    Chapter 9 Combining Simple Models to Approximate Complex Dynamics
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    Chapter 10 Online Adaptive Gaussian Mixture Learning for Video Applications
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    Chapter 11 Novelty Detection in Image Sequences with Dynamic Background
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    Chapter 12 A Framework for Foreground Detection in Complex Environments
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    Chapter 13 A Background Maintenance Model in the Spatial-Range Domain
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    Chapter 14 A New Robust Technique for Stabilizing Brightness Fluctuations in Image Sequences
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    Chapter 15 Factorization of Natural 4 × 4 Patch Distributions
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    Chapter 16 Parametric and Non-parametric Methods for Linear Extraction
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    Chapter 17 Crowd Segmentation Through Emergent Labeling
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Title
Statistical Methods in Video Processing
Published by
Springer, Berlin, Heidelberg, January 2004
DOI 10.1007/b104157
ISBNs
978-3-54-023989-5, 978-3-54-030212-4
Editors

Dorin Comaniciu, Rudolf Mester, Kenichi Kanatani, David Suter

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Greece 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 1 9%
Researcher 1 9%
Unknown 9 82%
Readers by discipline Count As %
Computer Science 2 18%
Unknown 9 82%