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• W20697956 abstract "Given the rapid development of digital video technologies, large-scale multi-camera networks are now more prevalent than ever. There is an increasing demand for automated multi-camera/sensor event-modeling technologies that can efficiently and effectively extract events and activities occurring in the surveillance network. In this chapter, we present a composite event detection system for multicamera networks. The proposed framework is capable of handling relationships between primitive events generated from (1) a single camera view, (2) multiple camera views, and (3) nonvideo sensors with spatial and temporal variations. Composite events are represented in the form of full binary trees, where the leaf nodes represent primitive events, the root node represents the target composite event, and the middle nodes represent rule definitions. The multi-layer design of composite events provides great extensibility and flexibility in different applications. A standardized XML-style event language is designed to describe the composite events such that inter-agent communication and event detection module construction can be conveniently achieved. In our system, a set of graphical interfaces is also developed for users to easily define both primitive and high-level composite events. The proposed system is designed in distributed form, where the system components can be deployed on separate processors, communicating with each other over a network. The capabilities and effectiveness of our system have been demonstrated in several real-life applications, including retail loss prevention, indoor tailgating detection, and false positive reduction." @default.
• W20697956 created "2016-06-24" @default.
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• W20697956 date "2009-01-01" @default.
• W20697956 modified "2023-10-16" @default.
• W20697956 title "Composite Event Detection in Multi-Camera and Multi-Sensor Surveillance Networks" @default.
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• W20697956 doi "https://doi.org/10.1016/b978-0-12-374633-7.00021-5" @default.
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