Net-centric System of Systems framework for human detection

Abstract

System of Systems (SoS) architectures have been used to conceptually define complex systems. However, very few SoS architectures have been physically realized to solve real-world problems. Proposed in this work is the full realization of a net-centric SoS architecture used to implement and integrate a complex system used to automate human detection from an image source. A SoS architecture was selected to implement the human detection system due to a SoS's ability to achieve high levels of interoperability. This high level of interoperability is feasible via standardization of communication and by structuring information to conform to a proposed XML framework. Additionally, each individual system within the SoS hierarchy is functionally decomposed based on sets defined services that each system requires and provides. Moreover, a new concept of a commonly implemented directory service is used to initialize system communication and automate SoS architecture discovery.