Object Class Aware Video Anomaly Detection through Image Translation. (arXiv:2205.01706v1 [cs.CV])

Semi-supervised video anomaly detection (VAD) methods formulate the task of
anomaly detection as detection of deviations from the learned normal patterns.
Previous works in the field (reconstruction or prediction-based methods) suffer
from two drawbacks: 1) They focus on low-level features, and they (especially
holistic approaches) do not effectively consider the object classes. 2)
Object-centric approaches neglect some of the context information (such as
location). To tackle these challenges, this paper proposes a novel two-stream
object-aware VAD method that learns the …

anomaly anomaly detection arxiv cv detection image translation video