The paper presents a layered architecture for real-time surveillance systems. Each layer includes objects that model the real world at a specific abstraction level, from raw data up to domain concepts. Each layer performs abstractions on perceptions coming from the lower layer and formulates timed hypotheses about domain objects. The failure of a hypothesis causes a perception to flow up-stream. In turn, hypotheses flow down-stream, so that their verification is delegated to the lower layers. The proposed architectural patterns have been reified in a Java framework, which has been used in an experimental multi-camera tracking system.
Micucci, D., Oldani, M., Tisato, F. (2005). Real-time reasoning: The case of surveillance systems. In Proceedings of the 10th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) (pp.255-258). IEEE [10.1109/ETFA.2005.1612529].
Real-time reasoning: The case of surveillance systems
MICUCCI, DANIELA;TISATO, FRANCESCO
2005
Abstract
The paper presents a layered architecture for real-time surveillance systems. Each layer includes objects that model the real world at a specific abstraction level, from raw data up to domain concepts. Each layer performs abstractions on perceptions coming from the lower layer and formulates timed hypotheses about domain objects. The failure of a hypothesis causes a perception to flow up-stream. In turn, hypotheses flow down-stream, so that their verification is delegated to the lower layers. The proposed architectural patterns have been reified in a Java framework, which has been used in an experimental multi-camera tracking system.
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