Person recognition using facial features, e.g., mug-shot images, has long been used in identity documents. However, due to the widespread use of web-cams and mobile devices embedded with a camera, it is now possible to realise
facial video recognition, rather than resorting to just still images. In fact, facial video recognition offers many advantages over still image recognition; these
include the potential of boosting the system accuracy and deterring spoof attacks. This paper presents the first known benchmarking effort of person identity verification
using facial video data. The evaluation involves 19 systems