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Directional Filtering for Sequential Image Analysis
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)...
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Published in: | IEEE signal processing letters 2008, Vol.15, p.902-905 |
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creator | Vihonen, J. Jylha, J. Ala-Kleemola, T. Ruotsalainen, M. Kauppila, J. Huotilainen, T. Rauhamaa, J. Visa, A. |
description | 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 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. |
doi_str_mv | 10.1109/LSP.2008.2007616 |
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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 that employs dynamic programming (DP) for so-called track-before-detect (TBD) processing. 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subjects | Detectors Dynamic programming Electrooptic devices Filtering Image analysis Image sensors Image sequence analysis Image sequences Monitoring sequential detection Signal detection Surveillance |
title | Directional Filtering for Sequential Image Analysis |
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