Matches in SemOpenAlex for { <https://semopenalex.org/work/W2589719310> ?p ?o ?g. }
- W2589719310 abstract "In this thesis novel probabilistic models are proposed for three different change detection tasks of computer vision, primarily focusing on applications from video surveillance and aerial exploitation. The surveys are performed in a coherent Markov Random Field (MRF) segmentation framework, but the introduced models face different practical challenges such as shadow effects, image registration errors or presence of noisy and incomplete concept descriptors. Contributions are presented in efficient feature extraction, probabilistic modeling of natural processes and feature integration via local innovations in the model structures. We show by several experiments that the proposed novelties embedded into a strict mathematical toolkit can significantly improve the results in real world test images and videos." @default.
- W2589719310 created "2017-03-03" @default.
- W2589719310 creator A5044638075 @default.
- W2589719310 date "2008-06-30" @default.
- W2589719310 modified "2023-09-27" @default.
- W2589719310 title "Novel Markovian Change Detection Models in Computer Vision" @default.
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