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Advanced Behaviour and Face analytics in XR

   Faculty of Engineering, Computing and the Environment

   Applications accepted all year round  Self-Funded PhD Students Only

About the Project

Improvements in computer vision, and deep learning advancements, along with the introduction of smart devices and powerful computers, have stimulated research interest in the field of real-time scene analysis. Behaviour and face analysis is the process of describing the actions of a given person or a group of people by leveraging extracted information from their actions and the overall environment. Although various applications in the areas of surveillance, security and autonomous vehicles use human behaviour and face analysis as a key component, further performance increase is still required to allow their generalized deployment.

As a novel AI solution for integrated smart devices has the potential to offer such progress, this project aims to research scene analysis methods that could be integrated into small wearable devices. Specifically, the project will address a set of contemporary problems related to face detection, recognition, and human behaviour analysis with the goal to be integrated into low-power devices

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