Abstract
Eleven days of public protests, unrest and chaos happened in October 2019 in Ecuador. The national security forces acted immediately implementing internal defense operations. In this changing and highly uncertain context the automatic crowd counting based on the Gaussian density estimation combined with the multi-scale convolutional neural networks is used to generate electronic intelligence. This solution is set in a real scene obtaining excellent results and reducing the training time without being the performance affected. In this way, with the information obtained in real-time about the quantities of forces and dispositive. The national security forces reaction is immediate guaranteeing the control, the resupply and reorganization of themselves.
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Acknowledgements
This work was supported by Centro de Investigación de Aplicaciones Militares (CIAM) through management internal projects.
Henry Cruz give thanks the support of the officers Darwin Merizalde and Marco Calderón.
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Cruz, H., Reyes Ch., R.P., Pinillos, M. (2020). Automatic Counting of People in Crowded Scenes, with Drones That Were Applied in Internal Defense Operations on October 20, 2019 in Ecuador. In: Rocha, Á., Paredes-Calderón, M., Guarda, T. (eds) Developments and Advances in Defense and Security. MICRADS 2020. Smart Innovation, Systems and Technologies, vol 181. Springer, Singapore. https://doi.org/10.1007/978-981-15-4875-8_10
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