Gaussian Mixture Conditional Variational Recurrent Neural Network for Unified Trajectory Imputation and Prediction
Predicting trajectories is essential for interpreting human behavior, yet it remains a challenging task when relying solely on observed motion patterns. Despite substantial progress, most existing methods assume fully observed trajectories and fail to account for missing data caused by occlusion, li...
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 48(2026), 3 vom: 31. Feb., Seite 2342-2353 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2026
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence |
| Schlagworte: | Journal Article |
| Online verfügbar |
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