Description: 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.

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