DoTA : Unsupervised Detection of Traffic Anomaly in Driving Videos
Video anomaly detection (VAD) has been extensively studied for static cameras but is much more challenging in egocentric driving videos where the scenes are extremely dynamic. This paper proposes an unsupervised method for traffic VAD based on future object localization. The idea is to predict futur...
Ausführliche Beschreibung
Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on pattern analysis and machine intelligence. - 1979. - 45(2023), 1 vom: 01. Jan., Seite 444-459
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| 1. Verfasser: |
Yao, Yu
(VerfasserIn) |
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| Weitere Verfasser: |
Wang, Xizi,
Xu, Mingze,
Pu, Zelin,
Wang, Yuchen,
Atkins, Ella,
Crandall, David J |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2023
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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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