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Outdoor and Large-Scale Real-World Scene Analysis

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Cover of 'Outdoor and Large-Scale Real-World Scene Analysis'

Table of Contents

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    Book Overview
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    Chapter 1 Exploiting Pedestrian Interaction via Global Optimization and Social Behaviors
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    Chapter 2 An Evaluation Framework for Stereo-Based Driver Assistance
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    Chapter 3 Real-World Stereo-Analysis Evaluation
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    Chapter 4 Pyramid Transform and Scale-Space Analysis in Image Analysis
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    Chapter 5 Towards Feature-Based Situation Assessment for Airport Apron Video Surveillance
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    Chapter 6 Generalized Subgraph Preconditioners for Large-Scale Bundle Adjustment
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    Chapter 7 Outdoor and Large-Scale Real-World Scene Analysis
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    Chapter 8 Equi-affine Invariant Geometries of Articulated Objects
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    Chapter 9 Towards Fast Image-Based Localization on a City-Scale
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    Chapter 10 Perspective and Non-perspective Camera Models in Underwater Imaging – Overview and Error Analysis
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    Chapter 11 An Introduction to Random Forests for Multi-class Object Detection
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    Chapter 12 Segmentation and Classification of Objects with Implicit Scene Context
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    Chapter 13 Dense 3D Reconstruction from Wide Baseline Image Sets
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    Chapter 14 Data-Driven Manifolds for Outdoor Motion Capture
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    Chapter 15 On Performance Analysis of Optical Flow Algorithms
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    Chapter 16 Camera-Based Fall Detection on Real World Data
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    Chapter 17 Semantic Structure from Motion: A Novel Framework for Joint Object Recognition and 3D Reconstruction
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    Chapter 18 Hierarchical Surface Reconstruction from Multi-resolution Point Samples
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    Chapter 19 Traffic Observation and Situation Assessment
Attention for Chapter 11: An Introduction to Random Forests for Multi-class Object Detection
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Chapter title
An Introduction to Random Forests for Multi-class Object Detection
Chapter number 11
Book title
Outdoor and Large-Scale Real-World Scene Analysis
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-34091-8_11
Book ISBNs
978-3-64-234090-1, 978-3-64-234091-8
Authors

Juergen Gall, Nima Razavi, Luc Van Gool, Gall, Juergen, Razavi, Nima, Van Gool, Luc

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 155 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 3 2%
United States 3 2%
United Kingdom 3 2%
Switzerland 2 1%
Portugal 2 1%
Austria 1 <1%
Australia 1 <1%
Ireland 1 <1%
Hong Kong 1 <1%
Other 7 5%
Unknown 131 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 29%
Student > Master 41 26%
Researcher 30 19%
Student > Bachelor 12 8%
Student > Doctoral Student 6 4%
Other 12 8%
Unknown 9 6%
Readers by discipline Count As %
Computer Science 80 52%
Engineering 30 19%
Agricultural and Biological Sciences 12 8%
Environmental Science 7 5%
Earth and Planetary Sciences 3 2%
Other 9 6%
Unknown 14 9%