Abstract
This chapter reviews two important biometric recognition technologies that have received significant attention recently: face and gait recognition, where individuals are recognized by their faces and the way they walk, respectively. These two technologies are mainly motivated from security-related applications. We first describe typical face and gait recognition systems and three common recognition scenarios. Then, we present the two general approaches for solving the problem, the model-based approach and the appearance-based approach, as well as the fusion of face and gait, followed by discussions on commonly used face and gait databases. Next, a survey of important recognition algorithms are provided, including linear, nonlinear and multilinear subspace learning algorithms. Finally, the current state and future directions are summarized.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
