Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information
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 compl...
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| Main Author: | |
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| Format: | Book Chapter |
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KIT Scientific Publishing
2017
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| Subjects: | |
| Online Access: | Get Fullteks DOAB: description of the publication |
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| Summary: | 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. |
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| Physical Description: | 1 electronic resource (XVII, 241 p. p.) |
| ISBN: | KSP/1000066975 9783731506447 |
| Access: | Open Access |