Crowd Management System Based on Hybrid Combination of LSTM and CNN-Reference-Cited by-同舟云学术

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Crowd Management System Based on Hybrid Combination of LSTM and CNN

Published:2022-11-29 Issue: Volume: Page:185-194
ISSN:2367-3370
Container-title:Information Systems and Management Science
language:
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Author:

Sharma Neeraj Kumar,Krishna G. V. Arun,Kumar V. Bharath,Kumar T. Sai Praveen,Rakesh C. H.,Reddy Ram Chandra

Publisher

Springer International Publishing

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-13150-9_17

Reference15 articles.

1. Yogameena, B., Nagananthini, C.: Computer vision-based crowd disaster avoidance system: a survey. Int. J. Disaster Risk Redact. 22, 95–129 (2017)

2. Dupont, C., Tobias, L., Luvison, B.: Crowd-11: a dataset for fine grained crowd behavior analysis. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 9–16 (2017)

3. Sultani, W., et al.: Real-world anomaly detection in surveillance videos. In: 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 6479–6488 (2018)

4. Aktı, Ş., Tataroğlu, G.A., Ekenel, H.K.: Vision-based fight detection from surveillance cameras. In: IEEE/EURASIP 9th International Conference on Image Processing Theory, Tools and Applications, Istanbul, Turkey, Vols. Volume - 1, pp. 150–169 (2019)

5. Fenil, E., Manogaran, G., Vivekananda, G.N., Thanjaivadivel, T., Jeeva, S., Ahilan, A.J.C.N.: Real time violence detection framework for football stadium comprising of big data analysis and deep learning through bidirectional LSTM. Comput. Netw. 151, 191–200 (2019)

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