Surveillance Architecture for Human Activity Recognition using Unmanned Aerial Vehicle / Arquitetura de vigilância para reconhecimento de atividade humana usando veículo aéreo não tripulado

Authors

  • Milena F. Pinto
  • Aurelio Gouvêa de Melo
  • Guilherme Marins
  • Iago Z. Biundini
  • André L. M. Marcato

DOI:

https://doi.org/10.34115/basrv4n3-027

Keywords:

Intelligent Systems, UAV, Robotic Systems, Surveillance, Semi-Autonomous Mission.

Abstract

There is intensive growth in researches regarding surveillance and threat detection. Surveillance tasks often involve several actors with multiple interactions. Thus, modeling a complex activity becomes challenging. This work proposes an architecture comprised of low, middle, and high levels. The low-level recognizes characteristics, positioning of objects, and time of occurrences utilizing a camera and Unmanned Aerial Vehicle (UAV) sensors. The middle-level is responsible for structuring the information from the low-level using Deterministic Finite Automata (DFA). An expert system attached in the high-level module performs inference over the organized information to enables the system to have simple reasoning modules, assisting the operator decision. The architecture is embedded in a UAV to reduce the number of cameras and to reach difficult areas. The experiments showed that the proposed system updated the grammatical structure effectively, given a sequence of information computed by the vision modules.

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Published

2020-05-13

How to Cite

Pinto, M. F., Melo, A. G. de, Marins, G., Biundini, I. Z., & Marcato, A. L. M. (2020). Surveillance Architecture for Human Activity Recognition using Unmanned Aerial Vehicle / Arquitetura de vigilância para reconhecimento de atividade humana usando veículo aéreo não tripulado. Brazilian Applied Science Review, 4(3), 1086–1103. https://doi.org/10.34115/basrv4n3-027

Issue

Section

Original articles