A Review on Intelligent Monitoring and Activity Interpretation

Abstract

This survey paper provides a tour of the various monitoring and activity interpretation frameworks found in the literature. The needs of monitoring and interpretation systems are presented in relation to the area where they have been developed or applied. Their evolution is studied to better understand the characteristics of current systems. After this, the main features of monitoring and activity interpretation systems are defined. Resumen Este trabajo presenta una revisión de los marcos de trabajo para monitorización e interpretación de actividades presentes en la literatura. Dependiendo delárea donde dichos marcos se han desarrollado o aplicado, se han identificado diferentes necesidades. Además, para comprender mejor las particularidades de los marcos de trabajo, esta revisión realiza un recorrido por su evolución histórica. Posteriormente, se definirán las principales características de los sistemas de monitorización e interpretación de actividades.

Cognitive and Computational Neuroscience: Principles, Algorithms, and Applications in Surveillance Context

“…The remote nodes perform not only the lower level processing but also data acquisition, while a central node is responsible for collecting the information and its coalescence. The proposal consists in the identification of things and the monitoring of human behavior [5]. This is eminently complex since there are multiple objects and types of behavior.…”

“…In event-based systems, the MVC provides information about changes in the application and provides a representation that adapts to the needs of the user. The model receives inputs to the application and interacts with it to update the objects and to represent the new information [5]. We propose to work with knowledge structures, which collect generalities and particularities of the situations of interest in order to automatically identify them in the monitored scenarios [6,7].…”

“…Some researches propose solutions to eliminate the semantic gap. Most of them are based on structures that start from the low semantic level to obtain a high level that allows quality descriptions that help in search and recovery of activities and situations in the SV systems [4,5]. In the next subchapter, we explain the solutions to SV based on cognitive neurosciences.…”