2009 | OriginalPaper | Buchkapitel
Multi-layer Background Change Detection Based on Spatiotemporal Texture Projections
verfasst von : Roland Miezianko, Dragoljub Pokrajac
Erschienen in: Computer Vision and Graphics
Verlag: Springer Berlin Heidelberg
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In this paper we explore a multi-layer background change detection method based on projections of spatiotemporal 3D texture maps. The aim of this method is to provide a background change detection of a region viewed by multiple cameras. Camera views are projected onto a common ground plane, thus creating a spatially aligned multi-layer background. The aligned multi-layer background is subdivided into non-overlapping texture blocks, and block data is dimensionally reduced by principal component analysis. Motion detection is performed on each block, and non-moving sections of the block are clustered into multiple hyperspheres. An analysis of the clusters from spatially aligned multi-layer blocks reveal regions of changed background. This method is evaluated on surveillance videos available from PETS2006 and PETS2007 datasets.