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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Bibliographic Details
Published in:IEEE signal processing letters 2008, Vol.15, p.902-905
Main Authors: Vihonen, J., Jylha, J., Ala-Kleemola, T., Ruotsalainen, M., Kauppila, J., Huotilainen, T., Rauhamaa, J., Visa, A.
Format: Article
Language:English
Subjects:
Detectors
Dynamic programming
Electrooptic devices
Filtering
Image analysis
Image sensors
Image sequence analysis
Image sequences
Monitoring
sequential detection
Signal detection
Surveillance
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Summary: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.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2008.2007616