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Multimodal Technologies for Perception of Humans

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Cover of 'Multimodal Technologies for Perception of Humans'

Table of Contents

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    Book Overview
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    Chapter 1 The CLEAR 2006 Evaluation
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    Chapter 2 3D Audiovisual Person Tracking Using Kalman Filtering and Information Theory
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    Chapter 3 A Generative Approach to Audio-Visual Person Tracking
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    Chapter 4 An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR’06 Evaluation Dataset
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    Chapter 5 Multi-and Single View Multiperson Tracking for Smart Room Environments
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    Chapter 6 UPC Audio, Video and Multimodal Person Tracking Systems in the Clear Evaluation Campaign
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    Chapter 7 A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars
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    Chapter 8 Speaker Tracking in Seminars by Human Body Detection
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    Chapter 9 TUT Acoustic Source Tracking System 2006
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    Chapter 10 Tracking Multiple Speakers with Probabilistic Data Association Filters
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    Chapter 11 2D Person Tracking Using Kalman Filtering and Adaptive Background Learning in a Feedback Loop
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    Chapter 12 PittPatt Face Detection and Tracking for the CLEAR 2006 Evaluation
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    Chapter 13 The AIT Outdoors Tracking System for Pedestrians and Vehicles
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    Chapter 14 Evaluation of USC Human Tracking System for Surveillance Videos
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    Chapter 15 Multi-feature Graph-Based Object Tracking
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    Chapter 16 Multiple Vehicle Tracking in Surveillance Videos
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    Chapter 17 Robust Appearance Modeling for Pedestrian and Vehicle Tracking
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    Chapter 18 Robust Vehicle Blob Tracking with Split/Merge Handling
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    Chapter 19 A Decision Fusion System Across Time and Classifiers for Audio-Visual Person Identification
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    Chapter 20 The CLEAR’06 LIMSI Acoustic Speaker Identification System for CHIL Seminars
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    Chapter 21 Person Identification Based on Multichannel and Multimodality Fusion
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    Chapter 22 ISL Person Identification Systems in the CLEAR Evaluations
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    Chapter 23 Audio, Video and Multimodal Person Identification in a Smart Room
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    Chapter 24 Head Pose Estimation on Low Resolution Images
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    Chapter 25 Evaluation of Head Pose Estimation for Studio Data
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    Chapter 26 Neural Network-Based Head Pose Estimation and Multi-view Fusion
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    Chapter 27 Head Pose Estimation in Seminar Room Using Multi View Face Detectors
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    Chapter 28 Head Pose Detection Based on Fusion of Multiple Viewpoint Information
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    Chapter 29 CLEAR Evaluation of Acoustic Event Detection and Classification Systems
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    Chapter 30 The CLEAR 2006 CMU Acoustic Environment Classification System
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    Chapter 31 2D Multi-person Tracking: A Comparative Study in AMI Meetings
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    Chapter 32 Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms
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Title
Multimodal Technologies for Perception of Humans
Published by
Springer Science & Business Media, January 2007
DOI 10.1007/978-3-540-69568-4
ISBNs
978-3-54-069567-7, 978-3-54-069568-4
Editors

Stiefelhagen, Rainer, Garofolo, John

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
Spain 1 3%
Portugal 1 3%
Russia 1 3%
Austria 1 3%
Argentina 1 3%
Unknown 32 82%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 11 28%
Student > Master 11 28%
Researcher 4 10%
Student > Bachelor 3 8%
Student > Postgraduate 3 8%
Other 9 23%
Readers by discipline Count As %
Computer Science 18 46%
Engineering 15 38%
Unspecified 4 10%
Business, Management and Accounting 1 3%
Arts and Humanities 1 3%
Other 2 5%