School of Science, Engineering and Information Technology

Real-time identification of suspicious objects/persons in surveillance images and video

Project Title:

Real-time identification of suspicious objects/persons in surveillance images and video

Supervisors:

  • Associate Professor Shyh Wei Teng (Principal)
  • Professor Guojun Lu
  • Professor Manzur Murshed
  • Dr Suryani Lim (ECR)

Contact person and email address:

A brief description of the project:

Surveillance images and videos or closed circuit television are commonly taken at important public areas such as airports and shopping centres. Currently, these videos are either monitored by security personnel who may not be able to continuously stay focused for extended period of time or stored for later review when some incidents have happened. Using such videos in either of these ways is ineffective for crime prevention or early crime detection. This project aims to develop a number of techniques that can automatically monitor surveillance videos and alert security personnel when certain suspicious objects/persons/movements are identified. The developed techniques will have significant impact on improving public security. The supervisors have extensive research expertise in multimedia feature extraction, image registration and object tracking/recognition.