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...
- Autores:
- Tipo de recurso:
- Book
- Fecha de publicación:
- 2017
- Institución:
- Universidad de Bogotá Jorge Tadeo Lozano
- Repositorio:
- Expeditio: repositorio UTadeo
- Idioma:
- ger
- OAI Identifier:
- oai:expeditiorepositorio.utadeo.edu.co:20.500.12010/17597
- Acceso en línea:
- https://directory.doabooks.org/handle/20.500.12854/41905
http://hdl.handle.net/20.500.12010/17597
- Palabra clave:
- Situation recognition
Kognitives Sichtsystem
Situationsanalyse
Sistemas de visualización tridimensionales
Imágenes digitales
Imágenes tridimensionales
- Rights
- License
- Abierto (Texto Completo)
| 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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