Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network
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| Titel: | Human-related anomalous event detection via spatial-temporal graph convolutional autoencoder with embedded long short-term memory network |
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| Autoren: | Nanjun Li, Faliang Chang, Chunsheng Liu |
| Quelle: | Neurocomputing. 490:482-494 |
| Verlagsinformationen: | Elsevier BV, 2022. |
| Publikationsjahr: | 2022 |
| Schlagwörter: | 03 medical and health sciences, 0302 clinical medicine, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology |
| Publikationsart: | Article |
| Sprache: | English |
| ISSN: | 0925-2312 |
| DOI: | 10.1016/j.neucom.2021.12.023 |
| Rights: | Elsevier TDM |
| Dokumentencode: | edsair.doi...........6f5267e7fee73583e685e0efd67b3ead |
| Datenbank: | OpenAIRE |
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Nájsť tento článok vo Web of Science | ISSN: | 09252312 |
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| DOI: | 10.1016/j.neucom.2021.12.023 |