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Flores-Monroy, Jonathan; Benitez-Garcia, Gibran; Nakano-Miyatake, Mariko; Takahashi, Hiroki (2025) An Online Modular Framework for Anomaly Detection and Multiclass Classification in Video Surveillance. Applied Sciences, 15 (17). doi:10.3390/app15179249

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Reference TypeJournal (article/letter/editorial)
TitleAn Online Modular Framework for Anomaly Detection and Multiclass Classification in Video Surveillance
JournalApplied Sciences
AuthorsFlores-Monroy, JonathanAuthor
Benitez-Garcia, GibranAuthor
Nakano-Miyatake, MarikoAuthor
Takahashi, HirokiAuthor
Year2025 (August 22)Volume15
Issue17
PublisherMDPI AG
DOIdoi:10.3390/app15179249Search in ResearchGate
Generate Citation Formats
Mindat Ref. ID18856421Long-form Identifiermindat:1:5:18856421:3
GUID0
Full ReferenceFlores-Monroy, Jonathan; Benitez-Garcia, Gibran; Nakano-Miyatake, Mariko; Takahashi, Hiroki (2025) An Online Modular Framework for Anomaly Detection and Multiclass Classification in Video Surveillance. Applied Sciences, 15 (17). doi:10.3390/app15179249
Plain TextFlores-Monroy, Jonathan; Benitez-Garcia, Gibran; Nakano-Miyatake, Mariko; Takahashi, Hiroki (2025) An Online Modular Framework for Anomaly Detection and Multiclass Classification in Video Surveillance. Applied Sciences, 15 (17). doi:10.3390/app15179249
In(2025, August) Applied Sciences Vol. 15 (17). MDPI AG

References Listed

These are the references the publisher has listed as being connected to the article. Please check the article itself for the full list of references which may differ. Not all references are currently linkable within the Digital Library.

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Flores-Monroy, J., Benitez-Garcia, G., Nakano, M., and Takahashi, H. (2024). Optimal Feature Extractor for Video Anomaly Detection in Public Transportation Applications. New Trends Intell. Softw. Methodol. Tools Tech., 249–262.
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Wu, P., Zhou, X., Pang, G., Sun, Y., Liu, J., Wang, P., and Zhang, Y. (2024, January 16–22). Open-vocabulary video anomaly detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA.
Not Yet Imported: - journal-article : 10.3390/s21082811

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Li, K., Wang, Y., Gao, P., Song, G., Liu, Y., Li, H., and Qiao, Y. (2022). UniFormer: Unified transformer for efficient spatiotemporal representation learning. arXiv.
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Lin, J., Gan, C., and Han, S. (November, January 27). TSM: Temporal shift module for efficient video understanding. Proceedings of the IEEE/CVF International Conference on Computer Vision, Seoul, Republic of Korea.
Not Yet Imported: - book-chapter : 10.1007/978-3-030-68799-1_7

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Meila (2021) Proceedings of the 38th International Conference on Machine Learning (ICML 2021) Learning transferable visual models from natural language supervision Volume 139, 8748
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(2025, August 13). Released Our Code. Available online: https://github.com/JonathanFlores2503/TransLowNet.
Chen, T., He, T., Benesty, M., Khotilovich, V., Tang, Y., Cho, H., Chen, K., Mitchell, R., Cano, I., and Zhou, T. (2025, August 13). Xgboost: Extreme Gradient Boosting. R Package Version 0.4-2. Available online: https://cran.r-project.org/web/packages/xgboost/index.html.
Not Yet Imported: Multimedia Tools and Applications - journal-article : 10.1007/s11042-023-14425-x

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Li, F., Liu, W., Chen, J., Zhang, R., Wang, Y., Zhong, X., and Wang, Z. (2025, January 10–17). Anomize: Better Open Vocabulary Video Anomaly Detection. Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Nashville, TN, USA.
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