[PDF][PDF] Advanced video anomaly detection using 2D CNN and stacked LSTM with deep active learning-based model: 10.48129/kjs. splml. 19159
… The deep learning-based end-to-end system with full use of both spatial and temporal
features from the input videos is proposed. The model combines the use of 2DCNN and
Stacked LSTM to extract frame-level features through an anisotropic Gunnar Farneback
Optical Flow algorithm. The system is evaluated on the benchmarked datasets namely
UCSD Ped1 and UCSD Ped2, and it achieves an AUC of 95% and 94% respectively. The
experimental results indicate that the proposed method is superior to state-of-the-art …
features from the input videos is proposed. The model combines the use of 2DCNN and
Stacked LSTM to extract frame-level features through an anisotropic Gunnar Farneback
Optical Flow algorithm. The system is evaluated on the benchmarked datasets namely
UCSD Ped1 and UCSD Ped2, and it achieves an AUC of 95% and 94% respectively. The
experimental results indicate that the proposed method is superior to state-of-the-art …
Abstract
Around the world, the video surveillance system has gained wide acceptance and astonishing growth due to its
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