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Automatic Object and Behaviour Recognition in Video/ Image Sequences


   Department of Automatic Control and Systems Engineering


About the Project

Smart CCTV systems have been subject on an increased interest during the last decades. There are many reasons for this interest, such as the need of processing quickly, in an automatic way huge amounts of video data. Different intelligent video surveillance systems have been developed in a wide range of applications. In most cases these are multiple camera systems which videos can be with low resolution and low quality. Based on the video data coming sequentially in real time the most common problems of interest are: automatic detection of moving objects, followed by their tracking in real time and behavior analysis. The current project is aimed at the development of novel techniques that can recognise a certain types of motion and inference. For instance, one problem of interest is abnormal behaviour detection.


Funding Notes

This is a self-funded research project.
We require applicants to have either an undergraduate honours degree (1st) or MSc (Merit or Distinction) in a relevant science or engineering subject from a reputable institution.
Prospective candidates for this project should have an MSc, MMath or MEng in mathematics, statistics, physics, aerospace engineering, signal processing, electrical engineering or a related subject.
Full details of how to apply can be found at the following link:
View Website
Applicants can apply for a Scholarship from the University of Sheffield but should note that competition for these Scholarships is highly competitive: View Website

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