Research Interests

There are an increasing number of monitoring devices, such as CCTV cameras, being installed in cities around the world. The raw output of these devices is generally monitored by human operators in a central control room. This large amount of gathered information overloads operators, making it difficult to detect urgent or critical events.

My research is based in the area of Information Engineering and more specifically in advancing Change Detection algorithms using modern machine learning techniques. This research will build upon existing human and vehicle surveillance technology to automatically build statistical models of the monitored environment, thus allowing automatic alerts to be generated when unusual changes occur.

The types of situations that this research aims to detect would include traffic accidents, antisocial behaviour and criminal activities such as theft. Alerting operators to these incidents directly allows emergency services to be engaged in a timelier period. The change detection algorithms could also be applied to industrial process monitoring and the monitoring of biological systems.

• Signal Processing
• Change Detection
• Novelty Detection
• Human Behaviour
• Machine Learning
• Unsupervised Learning