This paper describes a multisensorial person-identification system in which visual and
acoustic cues are used jointly for person identification. A simple approach, based on the …

Automatic person recognition systems attempt to use physical or behavioural characteristics
in order to perform the recognition task, and to this extent may be compared with humans …

This paper presents a person identification system based on acoustic and visual features.
The system is organized as a set of non-homogeneous classifiers whose outputs are …

This paper describes a person verification system based on facial profile views and features
extracted from speech. The system is comprised of two non-homogeneous classifiers whose …

In this paper, we present a multimodal audio-visual speaker identification system. The
proposed system decomposes the information existing in a video stream into two …

An integrated, multisensory recognition (identification and verification) system is described.
Acoustic features and visual features are integrated in order to identify people or to verify …

Audio-visual person recognition promises higher recognition accuracy than recognition in
either domain in isolation. To reach this goal, special attention should be given to the …

This paper presents a novel method of audio-visual feature-level fusion for person
identification where both the speech and facial modalities may be corrupted, and there is a …

In this paper, we address the modality integration issue on the example of a smart room
environment aiming at enabling person identification by combining acoustic features and 2D …

In this article, we report a study on the problem of person identification in TV programs, such
as situation comedy shows. A person identification system is constructed based on the joint …