GOOSE: Semantic search on Internet connected sensors
van Diggelen, J.
van 't Hof, J.
de Wit, J.J.
Broome, B.D. (editor)
Hall, D.L. (editor)
Llinas, J. (editor)
More and more sensors are getting Internet connected. Examples are cameras on cell phones, CCTV cameras for traffic control as well as dedicated security and defense sensor systems. Due to the steadily increasing data volume, human exploitation of all this sensor data is impossible for effective mission execution. Smart access to all sensor data acts as enabler for questions such as “Is there a person behind this building” or “Alert me when a vehicle approaches”. The GOOSE concept has the ambition to provide the capability to search semantically for any relevant information within “all” (including imaging) sensor streams in the entire Internet of sensors. This is similar to the capability provided by presently available Internet search engines which enable the retrieval of information on “all” web pages on the Internet. In line with current Internet search engines any indexing services shall be utilized cross-domain. The two main challenge for GOOSE is the Semantic Gap and Scalability. The GOOSE architecture consists of five elements: (1) an online extraction of primitives on each sensor stream; (2) an indexing and search mechanism for these primitives; (3) a ontology based semantic matching module; (4) a top-down hypothesis verification mechanism and (5) a controlling man-machine interface. This paper reports on the initial GOOSE demonstrator, which consists of the MES multimedia analysis platform and the CORTEX action recognition module. It also provides an outlook into future GOOSE development.
To reference this document use:
Safety and Security
Defence, Safety and Security
Physics & Electronics ; Human ; Communication & Information
II - Intelligent Imaging ; HOI - Human Behaviour & Organisational Innovations ; PCS - Perceptual and Cognitive Systems ; DSS - Distributed Sensor Systems ; AS - Acoustics & Sonar ; MNS - Media & Network Services
TS - Technical Sciences ; BSS - Behavioural and Societal Sciences
SPIE, Bellingham, WA
Next-Generation Analyst, April 29, 2013, Baltimore, MD, USA
Proceedings of SPIE