Image Analysis and Recognition

Name: Image Analysis and Recognition | 8th International Conference, ICIAR 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings, Part I
Brand: Springer
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8th International Conference, ICIAR 2011, Burnaby, BC, Canada, June 22-24, 2011. Proceedings, Part I

Mohamed Kamel Aurelio Campilho(Editor)

Springer (Publisher)

Published on 14. June 2011

XX, 449 pages

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978-3-642-21593-3 (ISBN)

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Content

Title
Preface
Table of Contents
Image and Video Processing
Enhancing Video Denoising Algorithms by Fusion from Multiple Views
Introduction
Proposed Method
Experimental Result
Conclusion
References
Single Image Example-Based Super-Resolution Using Cross-Scale Patch Matching and Markov Random Field Modelling
Introduction
Proposed Single Image Example-Based Method
Learning Candidate Patches
High-Resolution Image Reconstruction
Experimental Results
Conclusion
References
Background Images Generation Based on the Nelder-Mead Simplex Algorithm Using the Eigenbackground Model
Introduction
Related Works
Proposed Method
Experiments
Discussion
Conclusion
References
Phase Congruency Based Technique for the Removal of Rain from Video
Introduction
Properties of Rain Streaks in Video
Temporal Property
Chromatic Property
Directional Property
Algorithm for Rain Detection and Removal
Difference Image Calculation
Applying Phase Congruency on the Difference Images
Background Pixel Search
Compensate for Rain Affected Pixels
Results and Discussion
Conclusion
References
A Flexible Framework for Local Phase Coherence Computation
Introduction
Local Phase Coherence and Computation
Local Phase Coherence
Computation of Local Phase Coherence
Simulations
Conclusion
References
Edge Detection by Sliding Wedgelets
Introduction
Edge Detection Methods
Sliding Wedgelets
Experimental Results
Summary
References
Adaptive Non-linear Diffusion in Wavelet Domain
Introduction
Local Context Based Diffusion in Stationary Wavelet Domain (SWCD)
Experiment
Conclusion
References
Wavelet Domain Blur Invariants for 1D Discrete Signals
Introduction
Basic Definitions and Notation
Shift Invariant Discrete Wavelet Transform
Blur Invariants
Blur in the Wavelet Domain
Moments in the Wavelet Domain
Blur Invariants in the Wavelet Domain
Experimental Results
Experiment 1
Experiment 2
Conclusion
References
A Super Resolution Algorithm to Improve the Hough Transform
Introduction
Hough Transform Problems
Peak Splitting
Resolution Limitation
Using Super Resolution to Improve the HT
Multiple HT Data Frame Generation
Pixel/Cell Registration
HR Reconstruction Using LR HT Frames
Experiments
The Improvement of Peak Splitting
Improving the Resolution Limitation
Conclusion
References
Fusion of Multi-spectral Image Using Non-separable Additive Wavelets for High Spatial Resolution Enhancement
Introduction
Non-separable Orthogonal Wavelets with Compact Support and Filter Banks
Fusion Algorithm
Experimental Results Evaluation and Analysis
Experimental Results
Performance Analysis of the Fused Result Images
Conclusion
References
A Class of Image Metrics Based on the Structural Similarity Quality Index
Introduction
The Structural Similarity (SSIM) Quality Measure
A Class of SSIM-Based Metrics
Orthogonal Decomposition of the Signal/Image Space
A Class of Two-Dimensional Metrics
The Normalized Metric Relevant to SSIM
Construction of the SSIM-Based Metric
References
Structural Fidelity vs. Naturalness - Objective Assessment of Tone Mapped Images
Introduction
Proposed Method
Structural Fidelity
Naturalness
Quality Assessment Model
Validation
Conclusion
References
Feature Extraction and Pattern Recognition
Learning Sparse Features On-Line for Image Classification
Introduction
Related Work
On-Line Learning of Sparse Features
Max-Similarity Based Image Representation
Sparse Feature Learning Algorithm
Image Classification
Experimental Results
Caltech-101
Scene-15
Conclusion
References
Classifying Data Considering Pairs of Patients in a Relational Space
Introduction
Methodology
Gene Selection
Creation of Binary Codes
The Relational Space
Classifier
Implementation And Experimental Results
Breast Cancer Data Set
Leukemia Data Set
Colon Cancer Data Set
Conclusions
References
Hierarchical Spatial Matching Kernel for Image Categorization
Introduction
Related Work
Hierarchical Spatial Matching Kernel
Spatial Pyramid Matching
The Proposed Kernel: Hierarchical Spatial Matching Kernel
Experimental Results
Object Categorization
Oxford Flowers dataset:
Caltech datasets:
Scene Categorization
Conclusion
References
Computer Vision
Feature Selection for Tracker-Less Human Activity Recognition
Introduction
Human Activity Model
L2Boost with Temporal Models
Feature Selection for Tracker-Less Recognition
Tracker-Less and Detection-Less Scenario
Conclusions
References
Classification of Atomic Density Distributions Using Scale Invariant Blob Localization
Introduction
Atomic Density Distributions
Feature and Blob Detectors
Localization and Classification of Atomic Density Distribution Shapes
Feature Shape in the Scale Space
Localization Using the SINC Function Model
Feature and Scale Selection
Classification of the Feature Shapes
Experimental Results
Results of Synthetic Data
Results of Atom Optics Experiment Image Data
Conclusion
References
A Graph-Kernel Method for Re-identification
Introduction
Graph-Based Object Representation
Comparisons between Objects by Means of Graph Kernels
From Graph Edit Distance to Graph Kernels
Novelty Detection and Person Re-identification
Experimental Results
Conclusions
References
Automatic Recognition of 2D Shapes from a Set of Points
Introduction
LDA-Shapes
Automatic Recognition of the Perceived Shape
What is the Perceived Shape of a Set of Points?
The Proposed Criterion
Relevance of the Criterion
Experiments with Quantitative Evaluation
Conclusion and Prospects
References
Steganalysis of LSB Matching Based on the Statistical Analysis of Empirical Matrix
Introduction
The Statistical Analysis of Empirical Matrix
The Statistical Definition of Empirical Matrix
The Statistical Distortion in Empirical Matrix of Original Image Caused by Data Hiding
The Statistical Distortion in Empirical Matrix of Differential Images Caused by Data Hiding
Feature Extraction
Experimental Results
Conclusion
References
Infinite Generalized Gaussian Mixture Modeling and Applications
Introduction
Learning of the IGGM Model
The Mixture Model
The IGGM Model
The Complete Algorithm
Experimental Results
Categorization of Texture Images
Infrared Face Recognition
Conclusion
References
Fusion of Elevation Data into Satellite Image Classification Using Refined Production Rules
Introduction and Background
Evidential Theory
Semi-Supervised Classification
Fusing Elevation Data
Generating Basic Rules
Refined Fusion Process
Results
Conclusions and Future Work
References
Using Grid Based Feature Localization for Fast Image Matching
Introduction
Related Work
Affine Filtering Using Local Grids
Description of Grid-Based Affine Filtering
Experimental Results
Test Methodology
Conclusion
References
A Hybrid Representation of Imbalanced Points for Two-Layer Matching
Introduction
A Hybrid Representation for Two-Layer Matching
Similarity Measure of Localities
Locality Similarity Based on SIFT-Type Descriptors
Discriminant SIFT-Type Descriptors
Experiments
Conclusions
References
Wide-Baseline Correspondence from Locally Affine Invariant Contour Matching
Introduction
Affine Invariant Contour Description
Contour Correspondence
Initial Matching from Contour Descriptor
Refined Matching Using Global Constraints
Experiments
Conclusion
References
Measuring the Coverage of Interest Point Detectors
Introduction
Measuring Coverage
Performance Evaluation
Mutual Coverage for Measuring Complementarity
Conclusions
References
Non-uniform Mesh Warping for Content-Aware Image Retargeting
Introduction
Related Work
Image Retargeting Using Non-uniform Mesh
Significance Calculation
Grid Mesh Construction
Distortion Metrics
Results and Discussion
Conclusion
References
Moving Edge Segment Matching for the Detection of Moving Object
Introduction
The Multi-frame Based Moving Edge Detection
The Statistical Background Model
Multi-frame Based Moving Edge Matching
Moving Edge Verification
Updating the TBEL
Results and Analysis
Conclusion
References
Gauss-Laguerre Keypoints Extraction Using Fast Hermite Projection Method
Introduction
Gauss-Laguerre Keypoints
Gauss-Laguerre Keypoints Detection
Gauss-Laguerre Keypoints Descriptors
Descriptors Computation Using 2D Hermite Functions Expansion
Fast Hermite Projection Method
Results
Conclusion
References
Re-identification of Visual Targets in Camera Networks: A Comparison of Techniques
Introduction
Problem Definition
One to One Problem - Recognize - ``Who is this person?''
One to Many Problem - Search - ``Where Was This Person?''
Person Representation
Re-identification Techniques
Results
Experimental Setup
Training
One to Many Experiments
One to One Experiments
Conclusions
Future Work
References
Statistical Significance Based Graph Cut Segmentation for Shrinking Bias
Introduction
Motivation
Related Work
Statistically Significant Graph Cut Segmentation
p-value Calculation
Measuring the Significance of Edge Weights
Data-Smoothness Weights Relationship
Improvement in Shrinking Bias Problem
Experimental Results
Discussion
References
Real-Time People Detection in Videos Using Geometrical Features and Adaptive Boosting
Introduction
The Proposed Approach
Background Subtraction
Groups of People Detection
Geometrical Feature Extraction
Experimental Results
Conclusion and Discussion
References
Color, Texture, Motion and Shape
A Higher-Order Model for Fluid Motion Estimation
Introduction
Higher-Order Model of Flow Field
Local Flow Field Model
Blending Local Models into a Global Flow Field
Fluid Flow Estimation
Local Optical-Flow Constraint
Global Smoothness Constraint
Gradient-Descent Minimization
Experiments
Limitations of Our Method and Future Work
References
Dictionary Learning in Texture Classification
Introduction
Dictionary Learning and Sparse Coding
Background
Mathematical Formulation
Texture Classification
Experimental Setup
Results
Discussion and Conclusion
References
Selecting Anchor Points for 2D Skeletonization
Introduction
Preliminaries
Selecting the CMD in the Distance Transform
RCMD as Anchor Points for Skeletonization
$\theta$-CMD as Anchor Points for Skeletonization
Conclusion
References
Interactive Segmentation of 3D Images Using a Region Adjacency Graph Representation
Introduction
Design of an Interactive Segmentation System
Construction of the RAG
Selection of the Features to be Used during the Incremental Segmentation
RAG Definition
Interactive Segmentation Scheme
Splitting
Merging
Interactive Segmentation Using the RAG Visualization
Evaluation of Our Interactive System in a Texture Segmentation Problem
Segmentation of 3D Ultrasound Images
Conclusion
References
An Algorithm to Detect the Weak-Symmetry of a Simple Polygon
Introduction
Preliminaries
Weak-Symmetry of a Polygon with Respect to a Line
Definitions
Consequences of the Weak-Symmetry Definition
The Candidate Directions
Characterization of the Candidate Directions
An Algorithm to Compute the Candidate Directions
Filtering the Set of the Candidate Directions
Conclusion
References
Spatially Variant Dimensionality Reduction for the Visualization of Multi/Hyperspectral Images
Introduction
Spatially Variant Dimensionality Reduction
Segmentation Map
Distance Transform
Weighing of Dimensionality Reduction Functions
Experiments and Results
Data Sets
Dimensionality Reduction Techniques
Evaluation
Results
Comments on the Results
Conclusions
References
Tracking
Maneuvering Head Motion Tracking by Coarse-to-Fine Particle Filter
Introduction
Background
What to Track
State Space and the Dynamic Model
The Particle Filter
Proposed Approach
Overview of the Coarse-to-Fine Particle Filter
Weight Calculation
The Color Cue.
The Partitioned Color Cue.
Experimental Results
Results
Time Factor.
The Number of Particles.
Conclusion
References
Multi-camera Relay Tracker Utilizing Color-Based Particle Filtering
Introduction
Motion Event Detection Using MHI
Adaptive Color-Based Particle Filtering
Relay Strategy for Exchanging Information
Experimental Results
Discussion and Future Work
References
Visual Tracking Using Online Semi-supervised Learning
Introduction
Gradient Semi-supervised Learning
The Framework for Visual Tracking
Classifier Updating
Bayesian Tracking
Comparison with Existing Approaches
Experimental Results
Conclusions
References
Solving Multiple-Target Tracking Using Adaptive Filters
Introduction
Related Work
Blob Detection and Low-Level Tracking
High-Level Appearance Tracker
Object State Management
Tracking Object Matching
Feature Selection
Appearance Computation
Experimental Results
Conclusions
References
From Optical Flow to Tracking Objects on Movie Videos
Introduction and Related Work
Color Coding for Motion Vector Fields
Background Subtraction
Multi-level Tracking
Experimental Results
Conclusion
References
Event Detection and Recognition Using Histogram of Oriented Gradients and Hidden Markov Models
Introduction
Overview of the System
Foreground Extraction
Camera-Real World Calibration
Histogram of Oriented Gradients
Hidden Markov Model (HMM)
Experimental Results
Conclusion and Future Work
References
Author Index

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Image Analysis and Recognition

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