A Multi-Task Learning Framework for Head Pose Estimation under Target Motion
Recently, head pose estimation (HPE) from low-resolution surveillance data has gained in importance. However, monocular and multi-view HPE approaches still work poorly under target motion, as facial appearance distorts owing to camera perspective and scale changes when a person moves around. To this...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 38(2016), 6 vom: 27. Juni, Seite 1070-83
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| 1. Verfasser: |
Yan, Yan
(VerfasserIn) |
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| Weitere Verfasser: |
Ricci, Elisa,
Subramanian, Ramanathan,
Liu, Gaowen,
Lanz, Oswald,
Sebe, Nicu |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2016
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on pattern analysis and machine intelligence
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| Schlagworte: | Journal Article |
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