SuspAct: novel suspicious activity prediction based on deep learning in the real-time environment
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-10355-3.pdf
Reference33 articles.
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4. Franklin RJ, Dabbagol V et al., (2020) Anomaly detection in videos for video surveillance applications using neural networks. pp. 632–637
5. Gawande U, Hajari K, Golhar Y (2024) Novel person detection and suspicious activity recognition using enhanced yolov5 and motion feature map. Artif Intell Rev 57(2):16
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