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Directional Filtering for Sequential Image Analysis
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DOI：10.1109/LSP.2008.2007616.png)
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Abstract
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Image sequences produced by, e.g., electro-optical sensors are being used increasingly for continuous quality monitoring and surveillance. This letter considers the important problem of multiframe change point detection of signals with unknown dynamics. We propose a new CUSUM-based (CUmulative SUM) detector for detecting noise-obscured signals in a sequence of frames. Our sequential detector adopts directional filtering, a search philosophy of interesting pixels, of state-of-the-art detector [1] that employs dynamic programming (DP) for so-called track-before-detect (TBD) processing. In case of a persistent change, a detailed comparison reveals our CUSUM-based detector superior to the DP-based TBD detector.
Keywords:
Dynamic programming
image analysis
sequential detection
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