A Sparse Pooling Adversarial Learning Framework for Anomaly Event Detection

Detecting abnormal event in video is essential for maintaining safety in modern communities. However, due to factors of complex background, large changes in scale, and the randomness of abnormal events, causing abnormal event detection poses significant challenges. To address the issue, we propose a...

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Veröffentlicht in:	Advances in Electrical and Computer Engineering Jg. 25; H. 2; S. 49 - 58
Hauptverfasser:	ZHANG, M., HU, H., LI, Z.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Suceava Stefan cel Mare University of Suceava 01.06.2025
Schlagworte:	Ablation Analysis anomaly detection Artificial intelligence Automation Behavior Comparative analysis Datasets Deep learning Effectiveness encoder-decoder Frames (data processing) generative adversarial networks Image processing Learning Machine learning Methods Neural networks self-attention smart community Surveillance China
ISSN:	1582-7445, 1844-7600
Online-Zugang:	Volltext
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