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Trends and Topics in Computer Vision

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Cover of 'Trends and Topics in Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Attribute Learning in Large-Scale Datasets
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    Chapter 2 Combining Language Sources and Robust Semantic Relatedness for Attribute-Based Knowledge Transfer
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    Chapter 3 Sparse Representations and Distance Learning for Attribute Based Category Recognition
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    Chapter 4 Semi-supervised Learning of Facial Attributes in Video
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    Chapter 5 Objects as Attributes for Scene Classification
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    Chapter 6 A Generic Model to Compose Vision Modules for Holistic Scene Understanding
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    Chapter 7 Automatic Facial Landmark Tracking in Video Sequences Using Kalman Filter Assisted Active Shape Models
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    Chapter 8 Tracking in Action Space
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    Chapter 9 A Tree-Based Approach to Integrated Action Localization, Recognition and Segmentation
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    Chapter 10 A Fast Method for Tracking People with Multiple Cameras
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    Chapter 11 Analyzing and Evaluating Markerless Motion Tracking Using Inertial Sensors
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    Chapter 12 A SURF-Based Spatio-Temporal Feature for Feature-Fusion-Based Action Recognition
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    Chapter 13 Middle-Level Representation for Human Activities Recognition: The Role of Spatio-Temporal Relationships
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    Chapter 14 Retrieving Actions in Group Contexts
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    Chapter 15 Hough Forest-Based Facial Expression Recognition from Video Sequences
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    Chapter 16 Spatiotemporal Features for Effective Facial Expression Recognition
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    Chapter 17 Human Focused Action Localization in Video
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    Chapter 18 Head Tracking and Hand Segmentation during Hand over Face Occlusion in Sign Language
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    Chapter 19 Fusion of Human Posture Features for Continuous Action Recognition
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    Chapter 20 Hand Tracking and Affine Shape-Appearance Handshape Sub-units in Continuous Sign Language Recognition
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    Chapter 21 Hand Modeling and Tracking for Video-Based Sign Language Recognition by Robust Principal Component Analysis
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    Chapter 22 Tracking Benchmark Databases for Video-Based Sign Language Recognition
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    Chapter 23 Detecting Regions from Single Scale Edges
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    Chapter 24 Generalised Pose Estimation Using Depth
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    Chapter 25 Invited Talk: Coupling Deformable Models and Learning Methods for Nonverbal Behavior Analysis: Applications to Deception, Multi-cultural Studies and ASL
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    Chapter 26 A Real-Time System for Head Tracking and Pose Estimation
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    Chapter 27 A System for Large Vocabulary Sign Search
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