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A critical review of works related to visual surveillance from an algorithmic point of view including detection, monitoring, and analysis of people's behavior is presented in this paper. On the other hand, the architectures of services for video surveillance are reviewed, making a critical analysis and presenting the challenges to be solved. In this sense, the authors remark on the design trends through a framework of an EDA reference architecture (event-driven architecture), efficient and flexible, to capture events from sequences of images emitted from video surveillance cameras, integrating concepts of services and complex event processing.
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Duque-Gomez et al. (2021) studied this question.
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