Image Analysis for Video Surveillance Based on Spatial Rewgularization of a Statistical Model - Based Change Detection

摘要

Advanced video surveillance applications require two successive phases: image analysis and content understanding. The first phase analyzes and extracts the characteristics of the video sequence. It defines the regions or the objects of interest according to their spatial / temporal properties. This image analysis results in a segmentation of the video sequence. This is interpreted by the content understanding phase according to the specific scenario and surveillance requirements.