Abstract—In an intelligent decentralized wide area surveillance environments which cooperate with each other, efficient data deployment strategy is needed for agile integrated reasoning. An overwhelming amount of multimedia data with event data and feature data is generated continuously by surveillance devices such as smart cameras or various sensors. Surveillance data contained in them if they are interoperable, properly be structured and integrated, can induce useful context information. This paper builds a hierarchical surveillance data deploy structure and import related data from others to annotate data arriving from multiple data source devices. The annotation process provides an impetus to the improvement of knowledge over time. Proactive surveillance data deploying provides the main concepts and properties to model a hierarchical area data structure. We define management policies helping agent’s reasoning process, discuss the design and implementation details of this network and compare their performance for the wide area surveillance.
Index Terms—Data deployment strategy, Wide area surveillance system, Cooperative reasoning, Multimedia data management.
Soomi Yang is with the Department of Information Security, the
University of Suwon, Hwasungsi, 445-743 KOREA (e-mail: smyang@
Pil Seong Park is with the Department of Computer Science, the University of Suwon, Hwasungsi, 445-743 KOREA (e-mail: firstname.lastname@example.org).
Cite: Soomi Yang and Pil Seong Park, "Cooperative Data Deployment Scheme for Better Context Inference in Wide Area Surveillance Environment," International Journal of Information and Education Technology vol. 2, no. 2, pp. 103-107, 2012.