An end-to-end framework for real-time violent behavior detection based on 2D CNNs-Reference-Cited by-同舟云学术

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An end-to-end framework for real-time violent behavior detection based on 2D CNNs

Published:2024-03-25 Issue:2 Volume:21 Page:
ISSN:1861-8200
Container-title:Journal of Real-Time Image Processing
language:en
Short-container-title:J Real-Time Image Proc

Author:

Zhang Peng,Dong Lijia,Zhao Xinlei,Lei Weimin,Zhang Wei

Funder

Key scientific and technological research projects("Jie Bang Gua Shuai") in Liaoning Province of China

Fundamental Research Funds for the Central Universities

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s11554-024-01443-7.pdf

Reference56 articles.

1. Iqrar, W., Abidien, M.Z., Hameed, W., Shahzad, A.: Cnn-lstm based smart real-time video surveillance system. In: 2022 14th International Conference on Mathematics, Actuarial Science, Computer Science and Statistics (MACS), pages 1–5. IEEE (2022)

2. Ludl, D., Gulde, T., Curio, C.: Simple yet efficient real-time pose-based action recognition. In: 2019 IEEE Intelligent Transportation Systems Conference (ITSC), pages 581–588. IEEE (2019)

3. Guedes, A.R.M., Guillermo, C.: Real-time violence detection in videos using dynamic images. In: 2020 XLVI Latin American Computing Conference (CLEI), pages 503–511. IEEE (2020)

4. Irfanullah, H., Tariq, I., Arshad, Y., Bailin, H.A.: Real time violence detection in surveillance videos using convolutional neural networks. Multimed. Tools Appl. 81(26), 38151–38173 (2022)

5. Zhou, P., Ding, Q., Luo, H., Hou, X.: Violent interaction detection in video based on deep learning. J. Phys. Conf. Ser. 844(1), 012044 (2017)

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