Biometrics Evaluation and Testing (BEAT)
Automatic Face and Gesture Recognition tutorial on the BEAT platform
The Idiap research institute is organizing a tutorial on the BEAT platform during the Eleventh IEEE International Conference on Automatic Face and Gesture Recognition (FG 2015 www.fg2015.org ) that will be held in Ljubljana, Slovenia.
This tutorial will present the for online reproducible research, introducing concepts and providing an initial hands-on experience. The BEAT platform allows novice and advanced researchers to: (1) benchmark systems and components; (2) run comparative evaluations; (3) attest (certify) toolchains; (4) provide educational material for new-comers in pattern recognition and (5) optimize algorithms and systems. All these tasks can be accomplished without installing additional software on the users computer, running exclusively from the web browser. The BEAT platform naturally enforces important research aspects such as reproducibility and component re-use.
The target participants for this tutorial include both beginners and advanced researchers of any computer vision field with an interest towards reproducibility, experiment longevity and software re-use. We'll examplify our system and propose a simple tutorial using face recognition - interest on this area can be a plus. Other workflows and algorithms will be shown for different tasks in image processing.
Special session at Interspeech: Spoofing and Countermeasures for Automatic Speaker Verification
Spoofing and Countermeasures for Automatic Speaker Verification
It is widely acknowledged that most biometric systems are vulnerable to imposture or spoofing attacks. While vulnerabilities and countermeasures for other biometric modalities have been widely studied, automatic speaker verification systems remain vulnerable. This special session aims to promote the study of spoofing and countermeasures for the speech modality. We invite submissions with an emphasis on new countermeasures in addition to papers with a focus on previously unconsidered vulnerabilities, new databases, evaluation protocols and metrics for the assessment of automatic speaker verification in the face of spoofed samples. In particular, we aim to stimulate new interest from colleagues working in related fields, e.g. voice conversion and speech synthesis, whose participation is sought for the design of future evaluations.
Nicholas Evans, Tomi Kinnunen, Junichi Yamagishi and Sébastien Marcel
Deadline for submission: March 18th
Competition on speaker recognition in mobile environment using the MOBIO database
Competition on face recognition in mobile environment using the MOBIO database
The competition will be carried out on the MOBIO database. MOBIO is a challenging bimodal (face/speaker) database recorded from 152 people. The database has a female-male ratio of nearly 1:2 (52 females and 100 males) and was collected from August 2008 until July 2010 in six different sites from five different countries. The images provided by the database were captured with cameras of mobile phones and a laptop computer.