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2016 Technical Reports

Background Image Modelling for Change Detection

Hang Gao and Richard P. Wildes

Technical Report EECS-2016-01

York University

January 7 2016

Abstract

Change detection relative to a background image model is a potentially enabling capability for a variety of image analysis tasks, including automated video surveillance and monitoring. In this report, various combinations of chromatic, spatial and dynamic features are proposed and evaluated with reference to background modelling for change detection. The features are embedded in a popular background modelling framework and empirically evaluated relative to each other as well as the state-of-the-art on a standared, publicly available change detection dataset.

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