2023
DOI: 10.1142/s0219467824500529
|View full text |Cite
|
Sign up to set email alerts
|

Two-Stream Spatial–Temporal Feature Extraction and Classification Model for Anomaly Event Detection Using Hybrid Deep Learning Architectures

Abstract: Identifying events using surveillance videos is a major source that reduces crimes and illegal activities. Specifically, abnormal event detection gains more attention so that immediate responses can be provided. Video processing using conventional techniques identifies the events but fails to categorize them. Recently deep learning-based video processing applications provide excellent performances however the architecture considers either spatial or temporal features for event detection. To enhance the detecti… Show more

Help me understand this report

This publication either has no citations yet, or we are still processing them

Set email alert for when this publication receives citations?

See others like this or search for similar articles