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Poster

I. Real World, Most Demanding Biometric Applications

Gordon Levin(USA)
Walt Disney World

ABSTRACT
Walt Disney World may be unique in that it as continuously operated a biometric verification system for over 10 years (since 1996) and is the only civilian biometric installation that has operated long enough to reach a point of commercial system end of life? A set of internal company efforts in 2004 combined to create the need for a new biometric verification system that could raise the level of performance while reducing the wait and hassle for our guests. This presentation is a review of the efforts and processes involved in the co-development of a new biometric sensor package and the subsequent testing and installation processes conducted that have established what we consider to be currently the best performing, large-scale civilian biometric system deployed to date. This presentation is a continuation of our original presentation given at the Biometric Consortium 2002, which was related to our efforts at that time to optimize finger geometry type sensors to operate in a difficult exterior environment. This presentation is the main challenges we now faced in 2005 in our attempting to completely renovate our biometric system remained the same as they’ve always been; we operate a biometric verification system in a very tough environmental and operational scenario and our decision to attempt to switch from finger geometry to finger scanning was critical to the success of our overall company efforts. This presentation concludes with some lessons learned and next steps that have already been taken by the Walt Disney Company theme park segment.

II. Biometrics Standards Development - Rising to the                Challenge of  Technology Innovation

Fernando Podio(USA)
NIST

ABSTRACT
Standards enable development of integrated, scalable, secure and robust Information and Communication Technology (ICT) solutions and reduce the cost of development of these solutions. In the area of biometrics standardization, ISO/IEC Joint Technical Committee 1 Subcommittee 37 - Biometrics is responsible for the "standardization of generic biometric technologies pertaining to human beings to support interoperability and data interchange among applications and systems". The Subcommittee has completed the “first generation?of biometric standards including biometric data interchange formats for a number of modalities, biometric technical interface standards and biometric performance and conformance testing methodology standards. Large organizations such as the International Civil Aviation Organization and the International Labour Office of the UN have adopted many of these standards. We have begun the development of the “second generation" of biometric standards. The current Programme of Work includes the development of fifty-three standards and technical reports. This talk will present the status of international biometric standards development, will discuss adoption of these standards and will address how JTC 1/SC 37 is rising to the challenges presented by new trends, technology innovations and new customer’s needs through the effort of many dedicated experts from industry, academia and end-users of personal recognition systems.The positive impact of the close collaboration established between these experts will be examined.

III. Audio-Visual Biometrics

Thomas S. Huang(USA) 
Beckman Institute for Advanced Science and Technology

University of Illinois at Urbana-Champaign

ABSTRACT
Audio and visual cues often complement each other in hard and soft Biometrics; the combination of the two modalities can achieve better performance than each modality acting alone. We shall describe a number of experiments we have been doing: Audio-visual person identification, gender recognition, and emotion recognition. In each case, the advantages of using multimodalities will be demonstrated. Then, we shall give some comments on strategies for fusing multi-modalities.

IV. Computer Analysis of Face Video

Takeo Kanade(USA)
Robotics Institute
Carnegie Mellon University


ABSTRACT
The human face is an object of intense interest in Computer Vision research. The technology generated by this research is useful for biometrics, surveillance, human-computer interaction, and medical diagnosis.  Carnegie Mellon University’s face video analysis group has worked on face detection, alignment, tracking, recognition, and expression.  This talk will present our recent progress of methods and applications of computer analysis of face video.