UB - University at Buffalo, The State University of New York Computer Science and Engineering

CSE 678: Face and Gesture Recognition

Face and Gesture Recognition

Face and gesture recognition is an advanced technology that utilizes the intrinsic physiological or behavioral traits of individuals for machine-based automatic and reliable identification. It attracts much attention due to 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/activity analysis, and so forth. Multimodal, multimodality, and soft-biometric frameworks will also be discussed. Fundamental knowledge covered by the course includes 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.

None presently available.

Ph.D.:

None.

M.S.:

This course does not fulfill core area (depth) or core course (breadth) requirements.

CSE 555 or CSE 574, CSE 573. Or permission by instructor. CSE 555, CSE 573

Course Instances
Semester Section Title Instructor Credit Hours Enrolled
Spring 2011 LEC Face And Gesture Recognition Dr. Yun (Raymond) Fu 3 9/30
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