Market-Based Framework for Mobile Surveillance Systems [chapter]

Ahmed M. Elmogy, Alaa M. Khamis, Fakhri Karray
2012 Lecture Notes in Computer Science  
The active surveillance of public and private sites is increasingly becoming a very important and critical issue. It is therefore, imperative to develop mobile surveillance systems to protect these sites. Modern surveillance systems encompass spatially distributed mobile and static sensors in order to provide effective monitoring of persistent and transient objects and events in a given Area Of Interest (AOI). Mobile sensors have emerged as a solution to overcome the limitations of the static
more » ... nsors. Mobile sensors are capable of sensing, processing, moving and communicating with other nodes. They can sample the environment at different locations, exchange information with other nodes, and collaboratively accomplish the required mission. Mobile surveillance systems incorporate self-organized networks of mobile sensing nodes of different modalities, data and information fusion nodes, acting nodes and control nodes. These self-organized nodes can collaboratively and continuously sense within the volume of interest, as well as physically manipulate and interact with it. These surveillance systems provide systematic observation of an AOI that includes the timely detection, localization, recognition and identification of objects and events, their relationships, activities, and plans, in order to determine whether they are behaving normally, or whether there is any deviation from their expected behavior. To achieve this complete situation awareness, the system starts by collecting the relevant data in order to identify situation entities and their relationships. Then the system performs a relational analysis of object-events, followed by intent estimation and consequence prediction. The realization of the potential of mobile surveillance requires the solution of different challenging problems such as task allocation, mobile sensor deployment, multisensor management, cooperative object detection and tracking, decentralized data fusion, and interoperability and accessibility of system nodes. This thesis proposes a market-based framework that can be used to handle different problems of mobile surveillance systems. Task allocation and cooperative target-tracking iii D c 1 : the largest density value of the subtractive clustering r a , r b
doi:10.1007/978-3-642-31368-4_9 fatcat:57nrvobnfjhinkrlqixccf2ymy