Entropy functional based adaptive decision fusion framework
Töreyin, B. U.
Çetin, A. E.
2012 20th Signal Processing and Communications Applications Conference, SIU 2012, Proceedings
1 - 4
Item Usage Stats
MetadataShow full item record
In this paper, an entropy functional based online adaptive decision fusion framework is developed for image analysis and computer vision applications. In this framework, it is assumed that the compound algorithm consists of several sub-algorithms, each of which yields its own decision as a real number centered around zero, representing the confidence level of that particular sub-algorithm. Decision values are linearly combined with weights which are updated online according to an active fusion method based on performing entropic projections onto convex sets describing sub-algorithms. 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.
Computer vision applications
Decision fusion methods
Projections onto convex sets
Published Version (Please cite this version)http://dx.doi.org/10.1109/SIU.2012.6204712
Showing items related by title, author, creator and subject.
Aksoy, S.; Koperski, K.; Tusk, C.; Marchisio, G. (American Society for Photogrammetry and Remote Sensing, 2009-05)We describe a system that uses decision tree-based tools for seamless acquisition of knowledge for classification of remotely sensed imagery. We concentrate on three important problems in this process: information fusion, ...
Töreyin, B. U.; Yarkan, S.; Qaraqe, K. A.; Çetin, Ahmet Enis (IEEE, 2011)In this paper, an online Adaptive Decision Fusion (ADF) framework is proposed for the central spectrum awareness engine of a spectrum sensor network in Cognitive Radio (CR) systems. Online learning approaches are powerful ...
Çetin, A. E.; Dimitropoulos, K.; Gouverneur, B.; Grammalidis, N.; Günay, O.; Habiboğlu, Y. H.; Töreyin, B. U.; Verstockt, S. (Elsevier, 2013)This is a review article describing the recent developments in Video based Fire Detection (VFD). Video surveillance cameras and computer vision methods are widely used in many security applications. It is also possible to ...