Hajj pilgrimage abnormal crowd movement monitoring using optical flow and FCNN
Abstract This article discusses an effective technique for detecting abnormalities in Hajj crowd videos. In order to guarantee the identification of anomalies in scenes, a trained and supervised FCNN is turned into an FCNN using FCNNs and temporal data. By minimizing computational complexity, incorr...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
SpringerOpen
2023-05-01
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| Series: | Journal of Big Data |
| Assuntos: | |
| Acceso en liña: | https://doi.org/10.1186/s40537-023-00779-4 |
| Tags: |
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