Biometric systems have the goal of measuring and analyzing the unique physical or
behavioral characteristics of an individual. The main feature of biometric systems is the use …

In video-surveillance, person re-identification is the task of recognising whether an
individual has already been observed over a network of cameras. Typically, this is achieved …

The main challenge in recognizing faces in video is effectively exploiting the multiple frames
of a face and the accompanying dynamic signature. One prominent method is based on …

We introduce a semi-supervised method for building large, labeled datasets effaces by
leveraging archival video. Specifically, we have implemented a system for labeling 11 years …

In video-based face recognition, a key challenge is in exploiting the extra information
available in a video; eg, face, body, and motion identity cues. In addition, different video …

Recognition of low resolution face images is a challenging problem in many practical face
recognition systems. Methods have been proposed in the face recognition literature for the …

We consider the problem of matching a face in a low resolution query video sequence
against a set of higher quality gallery sequences. This problem is of interest in many …

Face recognition in unconstrained acquisition conditions is one of the most challenging
problems that has been actively researched in recent years. It is well known that many state …

Achieving illumination invariance in the presence of large pose changes remains one of the
most challenging aspects of automatic face recognition from low resolution imagery. In this …

Illumination invariance remains one of the most researched, yet the most challenging aspect
of automatic face recognition. In this paper the discriminative power of colour-based …