Thiyagarajan Chockalingam

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With the increasing number and variety of camera installations , unsupervised methods that learn typical activities have become popular for anomaly detection. In this article, we consider recent methods based on temporal probabilistic models and improve them in multiple ways. Our contributions are the following: (i) we integrate the low level processing and(More)
LOCALIZED ANOMALY DETECTION VIA HIERARCHICAL INTEGRATED ACTIVITY DISCOVERY With the increasing number and variety of camera installations, unsupervised methods that learn typical activities have become popular for anomaly detection. In this thesis, we consider recent methods based on temporal probabilistic models and improve them in multiple ways. Our(More)
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