Computer Vision in Human-Computer Interaction

1. Front Matter

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2. Multimodal Human Computer Interaction: A Survey

   1. Multimodal Human Computer Interaction: A Survey

      • Alejandro Jaimes, Nicu Sebe

      Pages 1-15

3. Tracking

   1. Tracking Body Parts of Multiple People for Multi-person Multimodal Interface

      • Sébastien Carbini, Jean-Emmanuel Viallet, Olivier Bernier, Bénédicte Bascle

      Pages 16-25

   2. Articulated Body Tracking Using Dynamic Belief Propagation

      • Tony X. Han, Thomas S. Huang

      Pages 26-35

   3. Recover Human Pose from Monocular Image Under Weak Perspective Projection

      • Minglei Tong, Yuncai Liu, Thomas S. Huang

      Pages 36-46

   4. A Joint System for Person Tracking and Face Detection

      • Zhenqiu Zhang, Gerasimos Potamianos, Andrew Senior, Stephen Chu, Thomas S. Huang

      Pages 47-59

4. Interfacing

   1. Perceptive User Interface, a Generic Approach

      • Michael Van den Bergh, Ward Servaes, Geert Caenen, Stefaan De Roeck, Luc Van Gool

      Pages 60-69

   2. A Vision Based Game Control Method

      • Peng Lu, Yufeng Chen, Xiangyong Zeng, Yangsheng Wang

      Pages 70-78

   3. Mobile Camera-Based User Interaction

      • Antonio Haro, Koichi Mori, Tolga Capin, Stephen Wilkinson

      Pages 79-89

5. Event Detection

   1. Fast Head Tilt Detection for Human-Computer Interaction

      • Benjamin N. Waber, John J. Magee, Margrit Betke

      Pages 90-99

   2. Attention Monitoring Based on Temporal Signal-Behavior Structures

      • Akira Utsumi, Shinjiro Kawato, Shinji Abe

      Pages 100-109

   3. Action Recognition with Global Features

      • Arash Mokhber, Catherine Achard, Xingtai Qu, Maurice Milgram

      Pages 110-119

   4. 3D Human Action Recognition Using Spatio-temporal Motion Templates

      • Fengjun Lv, Ramakant Nevatia, Mun Wai Lee

      Pages 120-130

6. Augmented Reality

   1. Interactive Point-and-Click Segmentation for Object Removal in Digital Images

      • Frank Nielsen, Richard Nock

      Pages 131-140

   2. Information Layout and Interaction Techniques on an Augmented Round Table

      • Shintaro Kajiwara, Hideki Koike, Kentaro Fukuchi, Kenji Oka, Yoichi Sato

      Pages 141-149

   3. On-Line Novel View Synthesis Capable of Handling Multiple Moving Objects

      • Indra Geys, Luc Van Gool

      Pages 150-159

7. Hand and Gesture

   1. Resolving Hand over Face Occlusion

      • Paul Smith, Niels da Vitoria Lobo, Mubarak Shah

      Pages 160-169

   2. Real-Time Adaptive Hand Motion Recognition Using a Sparse Bayesian Classifier

      • Shu-Fai Wong, Roberto Cipolla

      Pages 170-179

   3. Topographic Feature Mapping for Head Pose Estimation with Application to Facial Gesture Interfaces

      • Bisser Raytchev, Ikushi Yoda, Katsuhiko Sakaue

      Pages 180-188

   4. Accurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning

      • Jonathan Alon, Vassilis Athitsos, Stan Sclaroff

      Pages 189-198

Human-Computer Interaction (HCI) lies at the crossroads of many scienti?c areas including arti?cial intelligence, computer vision, face recognition, motion tracking, etc. In order for HCI systems to interact seamlessly with people, they need to understand their environment through vision and auditory input. Mo- over, HCI systems should learn how to adaptively respond depending on the situation. The goal of this workshop was to bring together researchers from the ?eld of computer vision whose work is related to human-computer interaction. The selected articles for this workshop address a wide range of theoretical and - plication issues in human-computer interaction ranging from human-robot - teraction, gesture recognition, and body tracking, to facial features analysis and human-computer interaction systems. This year 74 papers from 18 countries were submitted and 22 were accepted for presentation at the workshop after being reviewed by at least 3 members of the Program Committee. We had therefore a very competitive acceptance rate of less than 30% and as a consequence we had a very-high-quality workshop. Wewouldliketo thankallmembersofthe ProgramCommitteefor their help in ensuring the quality of the papers accepted for publication. We are grateful to Dr. Jian Wang for giving the keynote address. In addition, we wish to thank the organizers of the 10th IEEE International Conference on Computer Vision and our sponsors, University of Amsterdam, Leiden Institute of Advanced Computer Science, and the University of Illinois at Urbana-Champaign, for support in setting up our workshop.

• Augmented Reality
• Computer Vision
• action recognition
• biometrics
• body tracking
• face recognition
• facial feature analysis
• gesture recognition
• hci
• human-computer interaction
• human-computer interaction (HCI)
• human-robot interaction
• mixed reality
• motion tracking
• robot

• Intelligent Systems Lab Amsterdam, University of Amsterdam, The Netherlands

  Nicu Sebe

• LIACS Media Lab, Leiden University,  

  Michael Lew

• Beckman Institute, University of Illinois at Urbana-Champaign, USA

  Thomas S. Huang

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