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.
Author(s): Alejandro Jaimes, Nicu Sebe (auth.), Nicu Sebe, Michael Lew, Thomas S. Huang (eds.)
Series: Lecture Notes in Computer Science 3766 : Image Processing, Computer Vision, Pattern Recognition, and Graphics
Edition: 1
Publisher: Springer-Verlag Berlin Heidelberg
Year: 2005
Language: English
Pages: 234
Tags: Image Processing and Computer Vision; User Interfaces and Human Computer Interaction; Computer Graphics; Pattern Recognition
Front Matter....Pages -
Multimodal Human Computer Interaction: A Survey....Pages 1-15
Tracking Body Parts of Multiple People for Multi-person Multimodal Interface....Pages 16-25
Articulated Body Tracking Using Dynamic Belief Propagation....Pages 26-35
Recover Human Pose from Monocular Image Under Weak Perspective Projection....Pages 36-46
A Joint System for Person Tracking and Face Detection....Pages 47-59
Perceptive User Interface, a Generic Approach....Pages 60-69
A Vision Based Game Control Method....Pages 70-78
Mobile Camera-Based User Interaction....Pages 79-89
Fast Head Tilt Detection for Human-Computer Interaction....Pages 90-99
Attention Monitoring Based on Temporal Signal-Behavior Structures....Pages 100-109
Action Recognition with Global Features....Pages 110-119
3D Human Action Recognition Using Spatio-temporal Motion Templates....Pages 120-130
Interactive Point-and-Click Segmentation for Object Removal in Digital Images....Pages 131-140
Information Layout and Interaction Techniques on an Augmented Round Table....Pages 141-149
On-Line Novel View Synthesis Capable of Handling Multiple Moving Objects....Pages 150-159
Resolving Hand over Face Occlusion....Pages 160-169
Real-Time Adaptive Hand Motion Recognition Using a Sparse Bayesian Classifier....Pages 170-179
Topographic Feature Mapping for Head Pose Estimation with Application to Facial Gesture Interfaces....Pages 180-188
Accurate and Efficient Gesture Spotting via Pruning and Subgesture Reasoning....Pages 189-198
A Study of Detecting Social Interaction with Sensors in a Nursing Home Environment....Pages 199-210
HMM Based Falling Person Detection Using Both Audio and Video....Pages 211-220
Appearance Manifold of Facial Expression....Pages 221-230
Back Matter....Pages -
