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

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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.

Project Team

Students: Maxwell Standen, Archana Vadakattu, Michael Vincent

Supervisors: Dr Brian Ng, Dr David Booth (DST Group), Sau-Yee Yiu (DST Group)

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