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Open AccessArticle

A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers

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Distributed Real-time Systems Laboratory (SATRD), Universitat Politècnica de València, Camino de Vera s/n Valencia 46022, Spain
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Pattern Recognition and Human Language Technologies, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain
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Author to whom correspondence should be addressed.
Information 2019, 10(12), 365; https://doi.org/10.3390/info10120365
Received: 16 October 2019 / Revised: 20 November 2019 / Accepted: 20 November 2019 / Published: 24 November 2019
(This article belongs to the Special Issue Advanced Topics in Systems Safety and Security)
This paper shows a Novel Low Processing Time System focused on criminal activities detection based on real-time video analysis applied to Command and Control Citizen Security Centers. This system was applied to the detection and classification of criminal events in a real-time video surveillance subsystem in the Command and Control Citizen Security Center of the Colombian National Police. It was developed using a novel application of Deep Learning, specifically a Faster Region-Based Convolutional Network (R-CNN) for the detection of criminal activities treated as “objects” to be detected in real-time video. In order to maximize the system efficiency and reduce the processing time of each video frame, the pretrained CNN (Convolutional Neural Network) model AlexNet was used and the fine training was carried out with a dataset built for this project, formed by objects commonly used in criminal activities such as short firearms and bladed weapons. In addition, the system was trained for street theft detection. The system can generate alarms when detecting street theft, short firearms and bladed weapons, improving situational awareness and facilitating strategic decision making in the Command and Control Citizen Security Center of the Colombian National Police.
Keywords: Command and Control Citizen Security Center; Command and Control Information System (C2IS); crime detection; homeland security Command and Control Citizen Security Center; Command and Control Information System (C2IS); crime detection; homeland security
MDPI and ACS Style

Suarez-Paez, J.; Salcedo-Gonzalez, M.; Climente, A.; Esteve, M.; Gómez, J.A.; Palau, C.E.; Pérez-Llopis, I. A Novel Low Processing Time System for Criminal Activities Detection Applied to Command and Control Citizen Security Centers. Information 2019, 10, 365.

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