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The Third-eye: Using Camera and Sensors for Unmanned Monitor (RENEU20SCIEC)

  • Full or part time
  • Application Deadline
    Thursday, January 30, 2020
  • Competition Funded PhD Project (Students Worldwide)
    Competition Funded PhD Project (Students Worldwide)

Project Description

Cameras that act as human eyes have been used for monitor surveillance for a long time. However, camera-based surveillance applications have limitations in terms of line of sight, overlap, lighting conditions, etc. For example, public CCTVs may have difficulty identifying criminals wearing masks. In this project, Internet of Things (IoT) devices, such as sensors, skeleton tracking devices, thermal imaging cameras, and drone views, will become the third eye, enabling future systems more intelligent by fusing multiple senses through modern artificial intelligence (AI)/Deep Learning (DL) technologies. The purpose of the project is to address the challenges from “single sense to multi-senses”, i.e., to mimic five basic senses of human (touch, sight, hearing, smell, and taste). Specifically, this PhD project will tackle the problem of various data fusion technologies as follows:

Fusing skeleton and inertial data
Fusing video trajectories and wearable trajectory

Fusing RGB, skeleton, and motion data
… and many more

This project will cooperate with the Department of Computer Science, National Chiao Tung University (NCTU), Taiwan. A short-term research visit to NCTU will be arranged at an appropriate time during the PhD.

For more information on the supervisor for this project, please go here https://people.uea.ac.uk/e_ren

Type of Programme: PhD
State Date: October 2020
Mode of Study: Full-time

Entry requirements:
Acceptable first degree in Computer Science, Telecommunications, Electrical Engineering or other numerate discipline. It is desirable that applicants will have a 1st Class Honours Degree in a related subject and hopefully a Masters with experience of communications networking protocols, mathematical modelling and simulation.

Funding Notes

This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK/EU applicants and comprises home/EU tuition fees and an annual stipend of £15,009 for 3 years. Overseas applicants may apply but they are required to fund the difference between home/EU and overseas tuition fees (which for 2019-20 are detailed on the University’s fees pages at View Website . Please note tuition fees are subject to an annual increase).

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