FACE DETECTION AND GESTURE RECOGNITION FOR HUMAN-COMPUTER INTERACTION
Ming-Hsuan Yang and Narendra Ahuja
ISBN 0-7923-7409-6
Kluwer Academic Publishers
Boston/ Dordrecht / London
This book will interest those working in vision-based interfaces for intelligent human computer interaction. It also contains a comprehensive survey on existing face detection methods, which will serve as the entry point for new researchers embarking on such topics. Furthermore, this book also covers in-depth discussion on motion segmentation algorithms and applications, which will benefit more seasoned graduate students or researchers interested in motion pattern recognition
Contents
1. INTRODUCTION
1. Face Detection
2. Gesture Recognition
3. Book Overview
2. DETECTING FACES IN STILL IMAGES
1. Introduction
2. Detecting Faces In A Single Image
3. Face Image Databases and Performance Evaluation
4. Discussion and Conclusion
3. RECOGNIZING HAND GESTURES USING MOTION TRAJECTORIES
1. Introduction
2. Motivation and Approach
3. Motion Segmentation
4. Skin Color Model
5. Geometric Analysis
6. Motion Trajectories
7. Recognizing Motion Patterns Using Time-Delay Neural Network
8. Experiments
9. Discussion and Conclusion
4. SKIN COLOR MODEL
1. Proposed Mixture Model
2. Statistical Tests
3. Experimental Results
4. Applications
5. Discussion and Conclusion
5. FACE DETECTION USING MULTIMODAL DENSITY MODELS
1. Introduction
2. Previous Work
3. Mixture of Factor Analyzers
4. Mixture of Linear Spaces Using Fisherıs Linear Discriminant
5. Experiments
6. Discussion and Conclusion
6. LEARNING TO DETECT FACES WITH SNoW
1. Introduction
2. Previous Work
3. SNoW Learning Architecture
4. Learning to Detect Faces
5. Empirical Results
6. Analyzing SNoW: Theoretical and Empirical Results
7. Generation and Efficiency
8. Discussion and Conclusion
7. CONCLUSION AND FUTURE WORK
1. Conclusion
2. Future Work
Problems or Corrections:
vision Last modified: Sep 8, 2001