Research on 3D convolutional autoencoder enhanced metro abnormal behavior detection based on multi-level attentional memory

Subway is one of the most important rail transit tools in China, which has the advantages of convenience, safety and high efficiency, and subway has also become the main means of transportation for people to travel. However, the subway scene has the characteristics of narrow space and large passenge...

Celý popis

Uložené v:

Podrobná bibliografia
Vydané v:	Multimedia tools and applications Ročník 84; číslo 21; s. 23861 - 23879
Hlavní autori:	Ye, Run, Zhang, Kun, Zhang, Cheng, Yan, Bin, Zhou, Xiaojia
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2025 Springer Nature B.V
Predmet:	Algorithms Coders Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Deep learning Energy consumption Methods Multimedia Information Systems Neural networks Passengers Pedestrians Semantics Special Purpose and Application-Based Systems Subways Surveillance Time series Track 6: Computer Vision for Multimedia Applications Deep learning Attention mechanism Pedestrian abnormal behavior detection Convolution self-encoder Subway scene
ISSN:	1573-7721, 1380-7501, 1573-7721
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Buďte prvý, kto okomentuje tento záznam!