Yang M.H., Ahuja N. Face Detection and Gesture Recognition for Human-Computer Interaction

New York: Springer, 2001. - 187 p.
This book presents the work on face detection done by the authors as well as summarizes existing other work in these areas. We first review work on the works on face detection in Chapter 2 and present some future research directions. We then present our algorithm for extracting and recognizing motion patterns in Chapter
3. Experimental results on extraction and recognition of motion patterns associated with hand gestures using a set of 40 ASL signs are presented. In Chapter 4, we describe a skin color model using a mixture of Gaussians. This model facilitates extraction of skintone regions, thereby reducing the computation in gesture recognition and face detection. Two algorithms using multi modal density functions are introduced in Chapter 5 to detect faces in gray-scale images. Experimental results on several benchmark databases are presented. In Chapter 6, we describe a SNoW-based face detector and explain why and when SNoW performs well. We conclude in Chapter 7 with observations about possible role of face detection and gesture recognition in intelligent human computer interaction.