All tutorials will be conducted on September 8. To register for a tutorial, please use the conference registration link.

The following tutorials will be presented at BTAS 2015:

  1. 1.BEAT: An Online Web-platform for Reproducible Biometrics (Sep 8, 9:00am - 12:00pm)

  2. 2.Person Re-Identification: Theory and Best Practice (Sep 8, 9:00am - 12:00pm)

  3. 3.Ocular Biometrics in Non­Cooperative Environments (Sep 8, 9:00am - 12:00pm)

  1. 4.An Introduction to the Open Source Biometric Recognition (OpenBR) Project (Sep 8, 2:00pm  - 5:00pm)

  2. 5.Facial Expression Analysis (Sep 8, 2:00pm  - 5:00pm)

Details are provided below.

BEAT: An Online Web-platform for Reproducible Biometrics

Andre Anjos

Laurent El-Shafey

Sebastien Marcel

[Idiap Research Institute, Switzerland]

Instructions and Pre-requisite:

This hands-on tutorial will present the BEAT platform for online reproducible research on Biometrics, 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 newcomers 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.

Person Re-Identification: Theory and Best Practice

Iacopo Masi

[University of Southern California, USA]

Giuseppe Lisanti

Federico Bartoli

Alberto Del Bimbo

[Università degli Studi di Firenzi-Italy]


Person re-identification is the task of recognizing a person body silhouette, captured by one or more cameras, over a range of candidate targets. The main issues are due to the fact that the same person is usually acquired at different times and by different disjoint cameras. This tutorial provides a theoretical and practical knowledge about algorithms that try to solve the re-identification problem. The participants will be guided firstly to understand the person re-identification problem, the modalities and scenarios and then to learn principled methods to address the re-identification. Finally a case of study of a real application for re-identification is shown and discussed. The tutorial is also accompanied by some MATLAB-based tools.

Ocular Biometrics in Non­Cooperative Environments

Hugo Proença

[Universidade da Beira Interior-Portugal]


Recent attacks in crowded environments have been increasing the demands in obtaining fully non‐cooperative biometric recognition systems, i.e., automata that are able to recognize humans from large distances, outdoors and without requiring subjects cooperation. This ambition dates back to George Orwell’s “Nineteen Eighty-Four” book and broadens the applicability of biometric recognition systems to forensics/criminal seek domains. Using the eyes as main information source to perform recognition has been advocated as an attractive possibility, essentially because ‐ when compared to the face - this region has a smaller sensitivity to changes due to facial expressions and a minor probability of being occluded. Moreover, the ocular region is seen as a trade‐off between the face and the iris, which is known by its remarkable recognition effectiveness under controlled acquisition protocols. In this tutorial we will discuss the plausibility of non‐cooperative ocular recognition systems. Also, we will provide a comprehensive overview of the main phases behind the development of such type of systems, starting from the data acquisition process up to the decision / recognition modules. For each of these phases, the state‐of‐the art solutions will be critically analyzed, concluding by the discussion about the major obstacles that remain for obtaining such extremely ambitious kind of biometric recognition systems.

An Introduction to the Open Source Biometric Recognition (OpenBR) Project

Josh Klontz

Jordan Cheney

Brendan Klare

Ben Klein

Scott Klum

[Noblis, Inc., USA]


Have you ever been frustrated by the time it takes to design, evaluate, and deploy a biometric algorithm? Us too! Over the past five years we've been working on, and benefiting from, a framework that streamlines the algorithm development process. We call this framework OpenBR, and the goal of this tutorial is to turn you into a believer! Using face recognition as an illustrative example, this hands-on tutorial covers how we leverage OpenBR to design, evaluate and deploy biometric algorithms.

Facial Expression Analysis

Fernando de la Torre

[Carnegie Mellon University, USA]

Jeff Cohn

Jeff Girard

[University of Pittsburgh, USA]


The face is one of the most powerful channels of nonverbal communication. Facial expression provides cues about emotion, intention, alertness, pain, personality, regulates interpersonal behavior, and communicates psychiatric and biomedical status among other functions. Within the past 15 years, there has been increasing interest in automated facial expression analysis within the computer vision and machine learning communities. This tutorial will review fundamental approaches to facial measurement by behavioral scientists and current efforts in automated facial expression recognition. We consider challenges, review databases available to the research community, approaches to feature detection, tracking, and representation, and both supervised and unsupervised learning. In addition, we will discuss applications of facial image analysis to clinical depression, personality processes, pain assessment and the use of facial expression as biometrics.



7th IEEE International Conference on
Biometrics: Theory, Applications and Systems 
(BTAS 2015)
September 8 - 11, 2015