Detect anomaly in video by reconstructing motion and frame predicting
Detect anomaly in video by reconstructing motion and frame predicting
A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction
arXiv paper abstract https://arxiv.org/abs/2108.06852v1
arXiv PDF paper https://arxiv.org/pdf/2108.06852v1.pdf
... propose HF2-VAD, a Hybrid framework that integrates Flow reconstruction and Frame prediction seamlessly to handle Video Anomaly Detection.
Firstly, ... memorize normal patterns for optical flow reconstruction so that abnormal events can be sensitively identified with larger flow reconstruction errors.
... employ a Conditional Variational Autoencoder (CVAE), which captures the high correlation between video frame and optical flow, to predict the next frame given several previous frames.
... poorly reconstructed optical flows of abnormal events further deteriorate the quality of the final predicted future frame, making the anomalies more detectable.
Experimental results demonstrate the effectiveness of the proposed method. ...
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