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Abnormal Detection in Big Data Video with an Improved Autoencoder
With the rapid growth of video surveillance data, there is an increasing demand for big data automatic anomaly detection of large-scale video data. The detection methods using reconstruction errors based on deep autoencoders have been widely discussed. However, sometimes the autoencoder could recons...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8674060/ https://www.ncbi.nlm.nih.gov/pubmed/34925499 http://dx.doi.org/10.1155/2021/9861533 |