Özet
In this paper, an entropy-functional-based online adaptive decision fusion (EADF) framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several subalgorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular subalgorithm. Decision values are linearly combined with weights that are updated online according to an active fusion method based on performing entropic projections onto convex sets describing subalgorithms. It is assumed that there is an oracle, who is usually a human operator, providing feedback to the decision fusion method. A video-based wildfire detection system was developed to evaluate the performance of the decision fusion algorithm. In this case, image data arrive sequentially, and the oracle is the security guard of the forest lookout tower, verifying the decision of the combined algorithm. The simulation results are presented.
Orijinal dil | İngilizce |
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Makale numarası | 6126027 |
Sayfa (başlangıç-bitiş) | 2853-2865 |
Sayfa sayısı | 13 |
Dergi | IEEE Transactions on Image Processing |
Hacim | 21 |
Basın numarası | 5 |
DOI'lar | |
Yayın durumu | Yayınlandı - May 2012 |
Harici olarak yayınlandı | Evet |
Finansman
Manuscript received January 23, 2011; revised May 06, 2011 and November 12, 2011; accepted December 14, 2011. Date of publication January 09, 2012; date of current version April 18, 2012. This work was supported in part by the Scientific and Technical Research Council of Turkey (TUBITAK) under Grant 111E057 and Grant 105E191, by the European Commission 7th Framework Program under Grant FP7-ENV-2009-1244088 FIRESENSE (Fire Detection and Management through a Multi-Sensor Network for the Protection of Cultural Heritage Areas from the Risk of Fire and Extreme Weather Conditions). The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Arun A. Ross.
Finansörler | Finansör numarası |
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European Commission 7th Framework Program | FP7-ENV-2009-1244088 FIRESENSE |
TUBITAK | 105E191, 111E057 |
Seventh Framework Programme | 244088 |
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu |