Fritsch, Jan Nikolaus: Vision-based recognition of gestures with context. 2003
Inhalt
- Introduction
- Symbolic Action Detection
- Related Work
- The Situated Artificial Communicator Domain
- Detecting Actions by Symbolic Inference
- Two-Hand Model to Capture Actual Hand Contents
- Detecting Scene Changes with the Part Memory
- Inferring Actions from Scene Changes
- Limitations of the Symbolic Approach
- Summary
- Recognizing Human Gestures
- Finding Human Hands in Color Images
- Properties of Skin-color
- Related Work
- Extracting Features with Image Processing
- Adaptive Skin Color Segmentation
- Modeling the Skin Color Distribution
- Measuring the Skin Locus
- Detecting Faces in Images
- Initializing the Skin Color Model
- Performing Skin Color Segmentation of Input Images
- Updating the Skin Color Model
- Faster Segmentation based on Regions of Interest
- Compromises necessary for Real-Time Image Processing
- Results
- Summary
- Visual Activity Recognition
- Integrating Sensory and Symbolic Information for Action Recognition
- Related Work
- Extending Particle Filtering with Context Information
- Extracting Context Information for Hand Gestures
- Revisiting the Different Types of Gestures
- Relations between Hand Motions and Objects
- Defining Object Context for Manipulative Gestures
- Integrated Action Recognition using Object Context
- Evaluating the Recognition of Assembly Construction Actions
- Recognizing Manipulative Gestures in an Office Environment
- Task-based Object Recognition
- Summary
- Action Recognition in the Situated Artificial Communicator
- Improving the Human-Machine Interface
- Fusing with Visual Assembly Recognition
- Providing Hypotheses for Object Recognition
- Summary
- Summary and Conclusion
- Bibliography
- Index