Person recognition using a bag of facial soft biometrics (BoFSB)
This work introduces the novel idea of using a bag of facial soft biometrics for person verification and identification. The novel tool inherits the non-intrusiveness and computational efficiency of soft biometrics, which allow for fast and enrolment-free biometric analysis, even in the absence of consent and cooperation of the surveillance subject. In conjunction with the proposed system design and detection algorithms, we also proceed to shed some light on the statistical properties of different parameters that are pertinent to the proposed system, as well as provide insight on general design aspects in soft-biometric systems, and different aspects regarding efficient resource allocation.