A real-life system for identifying and monitoring objects for user-specified scenarios in live CCTV

Fairchild, AJ

Abstract

Abstract
This thesis presents the research and subsequent development of a real life system
capable of identifying and monitoring objects for user-specified scenarios in live CCTV
video. More specifically, after a review of the state of the art in both academic methods
and commercial systems, two main novel aspects of the proposed system are detailed.
The first deals with the detection of vehicles in static images using a combination of
features including: corners, lines and colour. The second aspect relates to how motion
has been exploited to detect and track objects within video feeds.
The research took place as part of a Knowledge Transfer Partnership, the partner
company of which had access to many video feeds across a range of different
geographical locations. This provided the opportunity elicit requirements from the actual
end-users and to extensively test and evaluate the system on real data.
Results from both video and static analysis systems are demonstrated and evaluated
before the Thesis concludes with specific enhancements that could be made to the
current system and general recommendations for future work.

Citation

Fairchild, A. A real-life system for identifying and monitoring objects for user-specified scenarios in live CCTV. (Thesis). Salford : University of Salford

• Thesis Type: Thesis
• Deposit Date: Oct 3, 2012
• Award Date: Jan 1, 2011