An Efficient Moving Object Detection Method under Illumination Changes

摘要

Detection of moving objects is the basic lowlevel operations in video analysis. One of the main challenges in any visual surveillance systems is to identify objects of interest from the background. Background subtraction (BS) method is the most widely used technique for object detection. The basic idea is to subtract the current frame from a background image and to classify each pixel either as foreground or background by comparing the difference with a threshold. Due to dynamic environmental conditions such as illumination changes and shadows, object segmentation is a difficult and significant problem that needs to be handled well for a robust visual surveillance system. Various techniques for moving object detection were surveyed and a new method based on spatial and temporal segmentation which handles dynamic environmental changes effectively was proposed.