Georeferenced Dynamic Event Handling

Abstract : A fast and efficient response to hazardous events can make the difference between life and death. Using this necessity as premise, surveillance systems are evolving, increasing the number of sensors used in event detection and developing new methods and algorithms for events handling. Nevertheless the timeliness and efficiency of response to events could be improved using new technologies, such as mobile devices with GPS capabilities, georeferenced location of events, and event classification. Having access to events and security agents’ locations could improve event’s handling in terms of responsiveness and appropriate distribution of work load per agent. Under the scope of a research project Advanced Surveillance System (DVA) a new approach to surveillance systems based in this geographic position of sensors, detected events and security agents was developed. DVA implements new algorithms for events’ assignment and processing. This paper describes DVA’s new approach to event handling.
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Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.251-258, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_27〉
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Sérgio Onofre, João Pimentão, Pedro Sousa. Georeferenced Dynamic Event Handling. Luis M. Camarinha-Matos; Thais A. Baldissera; Giovanni Di Orio; Francisco Marques. 6th Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Apr 2015, Costa de Caparica, Portugal. IFIP Advances in Information and Communication Technology, AICT-450, pp.251-258, 2015, Technological Innovation for Cloud-Based Engineering Systems. 〈10.1007/978-3-319-16766-4_27〉. 〈hal-01343491〉

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