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Novelty detection in image sequences with dynamic background

Kahl, Fredrik; Hartley, Richard; Hilsenstein, Volker


We propose a new scheme for novelty detection in image sequences capable of handling non-stationary background scenarious, such as waving trees, rain and snow. Novelty detection is the problem of classifying new observations from previous samples, as either novel or belonging to the background class. An adaptive background model, based on a linear PCA model in combination with local, spatial transformations, allows us to robustly model a variety of appearences. An incremental PCA algorithm is...[Show more]

CollectionsANU Research Publications
Date published: 2004
Type: Conference paper
Source: Computer Vision - ECCV 2004


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