Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video

@article{Gnay2012EntropyFunctionalBasedOA,
  title={Entropy-Functional-Based Online Adaptive Decision Fusion Framework With Application to Wildfire Detection in Video},
  author={Osman G{\"u}nay and B. Ugur T{\"o}reyin and Kivanç K{\"o}se and A. Enis Çetin},
  journal={IEEE Transactions on Image Processing},
  year={2012},
  volume={21},
  pages={2853-2865}
}
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… CONTINUE READING
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