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Computer Science - Image Processing | Multimodal Technologies for Perception of Humans - First International Evaluation Workshop on

Multimodal Technologies for Perception of Humans

First International Evaluation Workshop on Classification of Events, Activities and Relationships, CLEAR 2006, Southampton, UK, April 6-7, 2006, Revised Selected Papers

Stiefelhagen, Rainer, Garofolo, John (Eds.)

2007, XII, 360 p. Also available online.

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This book constitutes the thoroughly refereed post-proceedings of the First International CLEAR 2006 Evaluation Campaign and Workshop on Classification of Events, Activities and Relationships for evaluation of multimodal technologies for the perception of humans, their activities and interactions. The workshop was held in Southampton, UK, in April 2006.

The 29 revised full system description papers and one institutional paper presented together with two invited papers were carefully reviewed and selected for inclusion in the book.

CLEAR is an international effort to evaluate systems that are designed to analyze people's identities, activities, interactions and relationships in human-human interaction scenarios, as well as related scenarios. The papers are organized in topical sections on 3D person tracking, 2D face detection and tracking, person tracking on surveillance data, vehicle tracking, person identification, head pose estimation, acoustic scene analysis, and other evaluations.

Content Level » Research

Keywords » 2D/3D vision - Resolution - acoustic scene analysis - algorithms - articulated models - classification - computer vision - face authentication - face recognition - filtering - human tracking - information theory - learning - modeling - motion analysis

Related subjects » Artificial Intelligence - Image Processing - Theoretical Computer Science

Table of contents 

Overview.- The CLEAR 2006 Evaluation.- 3D Person Tracking.- 3D Audiovisual Person Tracking Using Kalman Filtering and Information Theory.- A Generative Approach to Audio-Visual Person Tracking.- An Audio-Visual Particle Filter for Speaker Tracking on the CLEAR’06 Evaluation Dataset.- Multi-and Single View Multiperson Tracking for Smart Room Environments.- UPC Audio, Video and Multimodal Person Tracking Systems in the Clear Evaluation Campaign.- A Joint System for Single-Person 2D-Face and 3D-Head Tracking in CHIL Seminars.- Speaker Tracking in Seminars by Human Body Detection.- TUT Acoustic Source Tracking System 2006.- Tracking Multiple Speakers with Probabilistic Data Association Filters.- 2D Face Detection and Tracking.- 2D Person Tracking Using Kalman Filtering and Adaptive Background Learning in a Feedback Loop.- PittPatt Face Detection and Tracking for the CLEAR 2006 Evaluation.- Person Tracking on Surveillance Data.- The AIT Outdoors Tracking System for Pedestrians and Vehicles.- Evaluation of USC Human Tracking System for Surveillance Videos.- Vehicle Tracking.- Multi-feature Graph-Based Object Tracking.- Multiple Vehicle Tracking in Surveillance Videos.- Robust Appearance Modeling for Pedestrian and Vehicle Tracking.- Robust Vehicle Blob Tracking with Split/Merge Handling.- Person Identification.- A Decision Fusion System Across Time and Classifiers for Audio-Visual Person Identification.- The CLEAR’06 LIMSI Acoustic Speaker Identification System for CHIL Seminars.- Person Identification Based on Multichannel and Multimodality Fusion.- ISL Person Identification Systems in the CLEAR Evaluations.- Audio, Video and Multimodal Person Identification in a Smart Room.- Head Pose Estimation.- Head Pose Estimation on Low Resolution Images.- Evaluation of Head Pose Estimation for Studio Data.- Neural Network-Based Head Pose Estimation and Multi-view Fusion.- Head Pose Estimation in Seminar Room Using Multi View Face Detectors.- Head Pose Detection Based on Fusion of Multiple Viewpoint Information.- Acoustic Scene Analysis.- CLEAR Evaluation of Acoustic Event Detection and Classification Systems.- The CLEAR 2006 CMU Acoustic Environment Classification System.- Other Evaluations.- 2D Multi-person Tracking: A Comparative Study in AMI Meetings.- Head Pose Tracking and Focus of Attention Recognition Algorithms in Meeting Rooms.

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