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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Vydané v:	Advances in Electrical and Computer Engineering Ročník 25; číslo 2; s. 49 - 58
Hlavní autori:	ZHANG, M., HU, H., LI, Z.
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Suceava Stefan cel Mare University of Suceava 01.06.2025
Predmet:	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
On-line prístup:	Získať plný text
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