Paper Info
Title
Averobot: An Audio-Visual Dataset For People Re-Identification And Verification In Human-Robot Interaction
Abstract
Intelligent technologies have pervaded our daily life, making it easier for people to complete their activities. One emerging application is involving the use of robots for assisting people in various tasks (e.g., visiting a museum). In this context, it is crucial to enable robots to correctly identify people. Existing robots often use facial information to establish the identity of a person of interest. But, the face alone may not offer enough relevant information due to variations in pose, illumination, resolution and recording distance. Other biometric modalities like the voice can improve the recognition performance in these conditions. However, the existing datasets in robotic scenarios usually do not include the audio cue and tend to suffer from one or more limitations: most of them are acquired under controlled conditions, limited in number of identities or samples per user, collected by the same recording device, and/or not freely available. In this paper, we propose AveRobot, an audio-visual dataset of 111 participants vocalizing short sentences under robot assistance scenarios. The collection took place into a three-floor building through eight different cameras with built-in microphones. The performance for face and voice re-identification and verification was evaluated on this dataset with deep learning baselines, and compared against audio-visual datasets from diverse scenarios. The results showed that AveRobot is a challenging dataset for people re-identification and verification.
Year
DOI
Venue
2019
10.5220/0007690902550265
ICPRAM: PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION APPLICATIONS AND METHODS
Keywords
Field
DocType
Face-voice Dataset, Deep Learning, People Verification, People Re-Identification, Human-Robot Interaction
Modalities,Computer science,Artificial intelligence,Deep learning,Biometrics,Robot,Machine learning,Human–robot interaction
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
5
Name
Order
Citations
PageRank
Mirko Marras1177.27
Pedro A Marín-Reyes212.71
Javier Lorenzo-Navarro316621.55
Modesto Castrillón Santana422624.99
Gianni Fenu59227.81