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 Fisher's 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. - Appendices. - A Covariance of Two Normally Distributed Variables. - B Conditional Distributions of Multiple Correlation Coefficient. - References. Language: English