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Investigating tensorflow for airport facial identification: poster

Published: 10 April 2018 Publication History

Abstract

Facial recognition is a rapidly developing application of machine learning. Face identification is specifically being adopted across security systems such as airports, perimeter security, and law-enforcement. In this poster, we describe a facial identification approach that can be deployed at airports. Our contributions include i.) facial identification software built on top of Google's TensorFlow [1] framework; ii.) a data collection scheme that can be implemented at airports nationally; and iii.) a user interface for collecting data.

References

[1]
Martín Abadi, Paul Barham, Jianmin Chen, Zhifeng Chen, Andy Davis, Jeffrey Dean, Matthieu Devin, Sanjay Ghemawat, Geoffrey Irving, Michael Isard, et al. 2016. TensorFlow: A System for Large-Scale Machine Learning. In OSDI, Vol. 16. 265--283.
[2]
Christopher Bishop. 2006. Pattern Recognition and Machine Learning (1 ed.). Springer-Verlag New York.
[3]
Rama Chellappa, Jun-Cheng Chen, Rajeev Ranjan, Swami Sankaranarayanan, Amit Kumar, Vishal M Patel, and Carlos D Castillo. 2016. Towards the design of an end-to-end automated system for image and video-based recognition. In Information Theory and Applications Workshop (ITA), 2016. IEEE, 1--7.

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Published In

cover image ACM Other conferences
HoTSoS '18: Proceedings of the 5th Annual Symposium and Bootcamp on Hot Topics in the Science of Security
April 2018
163 pages
ISBN:9781450364553
DOI:10.1145/3190619
  • General Chairs:
  • Munindar Singh,
  • Laurie Williams,
  • Program Chairs:
  • Rick Kuhn,
  • Tao Xie
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Sponsors

  • National Security Agency: National Security Agency

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2018

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Author Tags

  1. airport security
  2. deep learning
  3. facial identification
  4. tensorflow

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  • Research-article

Funding Sources

  • DOD High Performance Computing Modernization Program (HPCMP)

Conference

HoTSoS '18
Sponsor:
  • National Security Agency
HoTSoS '18: Symposium and Bootcamp
April 10 - 11, 2018
North Carolina, Raleigh

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Overall Acceptance Rate 34 of 60 submissions, 57%

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