Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information
Münch, David
Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information - KIT Scientific Publishing 2017 - 1 electronic resource (XVII, 241 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000066975 9783731506447
10.5445/KSP/1000066975 doi
situation recognition Kognitives Sichtsystem Situationsanalyse cognitive vision system
Begriffliche Situationsanalyse aus Videodaten bei unvollständiger und fehlerhafter Information - KIT Scientific Publishing 2017 - 1 electronic resource (XVII, 241 p. p.)
Open Access
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.
Creative Commons
German
KSP/1000066975 9783731506447
10.5445/KSP/1000066975 doi
situation recognition Kognitives Sichtsystem Situationsanalyse cognitive vision system