AMiDiViN

Abstract

With Distributed Vision Networks, drawbacks of common video surveillance systems can be overcome. Apart from an increase in system scalability and reliability, operators of Distributed Vision Networks benefit from real-time scene analysis. In case serious incidents are detected by cameras, humans can be informed to take appropriate further action.In this paper, we propose the use of mobile terminals that can connect to wireless networked Smart Cameras. Thereby, search requests (containing image features) can be posed by users and notifications in case of alarms (i.e., the detection of previously published image features) can be sent by cameras. The underlying algorithms and their evaluation, both in a simulated and real-world environment, are presented in this paper. The notification of a guard in our testbed of five cameras took below three seconds. An extensive evaluation shows, that distributed alarm management is generally feasible in today's wireless networks.