Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1109/LSP.2008.2007616 | Signal Processing Letters, IEEE |
Keywords | Field | DocType |
dynamic programming,filtering theory,image sequences,signal detection,video surveillance,CUSUM-based detector,continuous quality monitoring,directional filtering,dynamic programming,electro-optical sensor,multiframe change point detection,noise-obscured signal detection,sequential image analysis,state-of-the-art detector,surveillance,track-before-detect processing,Dynamic programming,image analysis,sequential detection | CUSUM,Computer vision,Dynamic programming,Electro-optical MASINT,Change detection,Detection theory,Pattern recognition,Computer science,Filter (signal processing),Artificial intelligence,Pixel,Detector | Journal |
Volume | ISSN | Citations |
15 | 1070-9908 | 2 |
PageRank | References | Authors |
0.67 | 4 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Juho Vihonen | 1 | 25 | 7.49 |
| Jylha, J. | 2 | 4 | 1.45 |
| Ala-Kleemola, T. | 3 | 4 | 1.11 |
| Ruotsalainen, M. | 4 | 2 | 0.67 |