Motion Event Recognition Using User Feedback
With high associated costs, both in terms of time and economics, false alarms are a ubiquitous problem in camera surveillance. There exists many methods of lowering the rate of false alarms from motion detection, most of which are based around using static rules and filters such as area of interest, cross-line detection and filtering of swaying objects. This thesis explores the possibilities of us