Face and gesture recognition is an advanced technology that utilizes the intrinsic physiological or behavioral traits of individual for machine-based automatic and reliable identification. It attracts much attention due the increasing demand for the security, privacy, and health care related human-centered applications. This course covers the state-of-the-art face and gesture recognition technologies, including face/human detection, face/body tracking, face recognition, head/body pose estimation, expression recognition, body language recognition, gait analysis, hand/body/eye gesture, action/activitiy analysis, and so forth. Multimodal, multimodality, and soft-biometric frameworks will also be discussed. Fundamental knowledge covered by the course include pattern recognition, feature extraction, classifier, probabilistic models, image processing, and machine learning. Tools and techniques for practical face and gesture recognition system design as well as hands-on exercises and projects will be provided.