Entropy-functional-based online adaptive decision fusion framework with application to wildfire detection in video
IEEE Transactions on Image Processing
2853 - 2865
MetadataShow full item record
Please cite this item using this persistent URLhttp://hdl.handle.net/11693/21484
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. © 1992-2012 IEEE.
- Research Paper 7144
Showing items related by title, author, creator and subject.
Günay, Osman (Bilkent University, 2015-05)We propose various image and video processing algorithms for wild re surveillance. The proposed methods include; classi er fusion, online learning, real-time feature extraction, image registration and optimization. We ...
Entropy-Functional-Based Online Adaptive Decision Fusion Framework with Application to Wildfire Detection in Video Gunay, O.; Toreyin, B. U.; Kose, K.; Cetin, A. E. (IEEE, 2012-05)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 ...
Arikan, E. (1996)Let (X, Y) be a pair of discrete random variables with X taking one of M possible values. Suppose the value of X is to be determined, given the value of Y, by asking questions of the form "Is X equal to x?" until the answer ...