Projects:2018s1-100 Automated Person Identification with Multiple Sensors

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Project Team

Students

Maxwell Standen

Archana Vadakattu

Michael Vincent

Supervisors

Dr Brian Ng

Dr David Booth (DST Group)

Sau-Yee Yiu (DST Group)

Abstract

This project seeks to develop the capability to identify individuals based on their whole body shape and 3D facial characteristics. This will involve:

  • 1. Determining the most suitable sensor type(s) for the task.
  • 2. Data collection, using the most appropriate sensor(s) selected in (1).
  • 3. Data alignment, and extraction of 3D face and body shape features.
  • 4. The development of a recognition and fusion capability using the extracted 3D face and body shape features.
  • 5. Performance assessment.

The project will involve elements of literature survey (both sensor hardware and algorithmic techniques), software development (ideally in Matlab) and performance assessment, possibly by means of a small trial. This project is sponsored by DST Group.

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