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Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information
David Münch
2017
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This work addresses the automatic detection of complex situations in image sequences in the video surveillance context. There are difficulties when dealing with data from natural environments. This work expands the formalism of FMTHL and SGTs to deal with erroneous, missing, and noisy data and complexity, demonstrates the robustness of situational recognition in natural scenarios, and expands generic applicability beyond discourse boundaries.
This book is included in DOAB.
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