Computer Vision – ACCV 2010 Workshops

Table of Contents

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   Book Overview
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   Chapter 1 Second-Order Polynomial Models for Background Subtraction
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   Chapter 2 Adaptive Background Modeling for Paused Object Regions
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   Chapter 3 Determining Spatial Motion Directly from Normal Flow Field: A Comprehensive Treatment
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   Chapter 4 Background Subtraction for PTZ Cameras Performing a Guard Tour and Application to Cameras with Very Low Frame Rate
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   Chapter 5 Bayesian Loop for Synergistic Change Detection and Tracking
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   Chapter 6 Real Time Motion Changes for New Event Detection and Recognition
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   Chapter 7 Improving Detector of Viola and Jones through SVM
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   Chapter 8 Multi-camera People Localization and Height Estimation Using Multiple Birth-and-Death Dynamics
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    Chapter 9 Unsupervised Video Surveillance
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    Chapter 10 Multicamera Video Summarization from Optimal Reconstruction
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    Chapter 11 Noisy Motion Vector Elimination by Bi-directional Vector-Based Zero Comparison
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    Chapter 12 Spatio-Temporal Optimization for Foreground/Background Segmentation
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    Chapter 13 Error Decreasing of Background Subtraction Process by Modeling the Foreground
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    Chapter 14 Object Flow : Learning Object Displacement
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    Chapter 15 HOG-Based Descriptors on Rotation Invariant Human Detection
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    Chapter 16 Fast and Accurate Pedestrian Detection Using a Cascade of Multiple Features
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    Chapter 17 Interactive Motion Analysis for Video Surveillance and Long Term Scene Monitoring
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    Chapter 18 Frontal Face Generation from Multiple Low-Resolution Non-frontal Faces for Face Recognition
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    Chapter 19 Probabilistic Index Histogram for Robust Object Tracking
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    Chapter 20 Mobile Surveillance by 3D-Outlier Analysis
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    Chapter 21 Person Re-identification Based on Global Color Context
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    Chapter 22 Visual Object Tracking via One-Class SVM
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    Chapter 23 Attenuated Sequential Importance Resampling (A-SIR) Algorithm for Object Tracking
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    Chapter 24 An Appearance-Based Approach to Assistive Identity Inference Using LBP and Colour Histograms
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    Chapter 25 Vehicle Class Recognition Using Multiple Video Cameras
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    Chapter 26 Efficient Head Tracking Using an Integral Histogram Constructing Based on Sparse Matrix Technology
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    Chapter 27 Analyzing Diving: A Dataset for Judging Action Quality
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    Chapter 28 Appearance-Based Smile Intensity Estimation by Cascaded Support Vector Machines
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    Chapter 29 Detecting Frequent Patterns in Video Using Partly Locality Sensitive Hashing
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    Chapter 30 Computer Vision – ACCV 2010 Workshops
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    Chapter 31 Interpreting Dynamic Meanings by Integrating Gesture and Posture Recognition System
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    Chapter 32 Learning from Mistakes: Object Movement Classification by the Boosted Features
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    Chapter 33 Modeling Multi-Object Activities in Phase Space
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    Chapter 34 Sparse Motion Segmentation Using Multiple Six-Point Consistencies
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    Chapter 35 Systematic Evaluation of Spatio-Temporal Features on Comparative Video Challenges
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    Chapter 36 Two-Probabilistic Latent Semantic Model for Image Annotation and Retrieval
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    Chapter 37 Using Conditional Random Field for Crowd Behavior Analysis
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    Chapter 38 Understanding Interactions and Guiding Visual Surveillance by Tracking Attention
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    Chapter 39 Algorithm for Discriminating Aggregate Gaze Points: Comparison with Salient Regions-Of-Interest
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    Chapter 40 Gaze Estimation Using Regression Analysis and AAMs Parameters Selected Based on Information Criterion
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    Chapter 41 Estimating Human Body and Head Orientation Change to Detect Visual Attention Direction
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    Chapter 42 Can Saliency Map Models Predict Human Egocentric Visual Attention?
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    Chapter 43 An Empirical Framework to Control Human Attention by Robot
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    Chapter 44 Improvement and Evaluation of Real-Time Tone Mapping for High Dynamic Range Images Using Gaze Information
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    Chapter 45 Evaluation of the Impetuses of Scan Path in Real Scene Searching