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Abstract
Modern IP-based wide-area surveillance systems often build on networks of multi-modal, intelligent and mobile sensor units. Detection of complex events is performed on intelligent sensors and fusing input in the sensor units or centralized control room components. The domain of surveillance and public safety creates requirement for robustness and fault-tolerance. This article will present an automated intelligence architecture for mobile surveillance, which provides capabilities for combining on-board event detection in sensor units, centralized decision making on the server side, and automated exploitation of mobile surveillance unit positioning data. This architecture must be very reliable to provide services in the face of challenges such as natural disasters and fire, potentially damaging the infrastructure of the surveillance system. To increase its reliability and robustness, we study the introduction of a self-healing system into the architecture and examine the combined system’s operation in three case studies.
Highlights
In recent years, surveillance systems for public safety have evolved into distributed and intelligent sensor networks [1]
We have presented our research related to the realization of a robust architecture for distributed mobile surveillance, event detection and automated reacting based on location-specific situational awareness of the mobile surveillance environment
This solution operates in a distributed manner inside the nodes of the surveillance system and matches the nature and requirements of our distributed surveillance architecture
Summary
Surveillance systems for public safety have evolved into distributed and intelligent sensor networks [1]. The key building blocks of many current generation surveillance systems consist of (1) a network of sensors, potentially multi-modal and mobile, (2) an IP-based transport network which often allows wireless connectivity, and (3) centralized components providing functionalities such as decision making and monitoring. The increasing amount of sensors introduces more need and possibilities for distributed intelligence, while the use of wireless sensor networks facilitates the introduction of mobile and intelligent surveillance units on the field. One of the challenges within current generation surveillance systems is to establish an efficient distributed architecture design facilitating information acquisition via analysis [1]. As more systems employ wireless surveillance units, the need for providing real-time location-specific information should be addressed [1]. In current IP-based surveillance systems, handling network failures is critical for achieving the required level of reliability [4]. The use of wireless and mobile devices further increases the need to tackle unexpected failures automatically, e.g., using self-configuration principles [1]
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