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Abnormal Event Detection In Video

Anomaly Detection › Abnormal Event Detection In Video 23 평가 기록 5 datasets

Abnormal Event Detection In Video is a challenging task in computer vision, as the definition of what an abnormal event looks like depends very much on the context. For instance, a car driving by on the street is regarded as a normal event, but if the car enters a pedestrian area, this is regarded as an abnormal event. A person running on a sports court (normal event) versus running outside from a bank (abnormal event) is another example. Although what is considered abnormal depends on the context, we can generally agree that abnormal events should be unexpected events that occur less often than familiar (normal) events

<span class="description-source">Source: Unmasking the abnormal events in video </span>

Image: Ravanbakhsh et al

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Dataset기록된 모델 예시MetricPaperCode
SS-Model + WS-Model + Sultani et al.
AUC: 0.846Decidability: 1.108EER: 0.216
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GMM
AUC: 0.906Decidability: 1.386EER: 0.160
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AI-VAD
AUC: 99.1
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Pooled Image Level kNN
Avg. ROC-AUC: 0.78Architecture: ViT
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Pooled Image Level kNN
Avg. ROC-AUC: 0.58Architecture: ViT
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