A real time solution for face logging

An intrusion logger is a video surveillance application designed to detect intrusion events and document them by storing times-tamped images in a log. Face loggers, in particular, are focused in grabbing imagery of intruders face, and are typically used to provide inputs to a face recognition system. Commonly, intrusion loggers are supposed to signal an alarm condition as the intrusion occurs, and are therefore required to run in real time and to work continuously for long time periods. In this paper we present a face logging solution capable of detecting and tracking several targets in real time, grabbing face images and evaluating their quality in order to store only the best for each detected target. An evaluation of the performance on a specifically designed test set is provided.