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An information system for target recognition
Swedish Defence Research Agency, Sweden.
Swedish Defence Research Agency, Sweden.ORCID iD: 0000-0002-6763-5487
Swedish Defence Research Agency, Sweden.ORCID iD: 0000-0002-4434-8055
Swedish Defence Research Agency, Sweden.
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2004 (English)In: Volume 5434 Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications / [ed] Belur V. Dasarathy, SPIE - International Society for Optical Engineering, 2004, 163-175 p.Conference paper (Refereed)
Abstract [en]

We present an approach to a general decision support system. The aim is to cover the complete process for automatic target recognition, from sensor data to the user interface. The approach is based on a query-based information system, and include tasks like feature extraction from sensor data, data association, data fusion and situation analysis. Currently, we are working with data from laser radar, infrared cameras, and visual cameras, studying target recognition from cooperating sensors on one or several platforms. The sensors are typically airborne and at low altitude. The processing of sensor data is performed in two steps. First, several attributes are estimated from the (unknown but detected) target. The attributes include orientation, size, speed, temperature etc. These estimates are used to select the models of interest in the matching step, where the target is matched with a number of target models, returning a likelihood value for each model. Several methods and sensor data types are used in both steps. The user communicates with the system via a visual user interface, where, for instance, the user can mark an area on a map and ask for hostile vehicles in the chosen area. The user input is converted to a query in ΣQL, a query language developed for this type of applications, and an ontological system decides which algorithms should be invoked and which sensor data should be used. The output from the sensors is fused by a fusion module and answers are given back to the user. The user does not need to have any detailed technical knowledge about the sensors (or which sensors that are available), and new sensors and algorithms can easily be plugged into the system.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2004. 163-175 p.
Series
, Proceedings of SPIE, ISSN 0277-786X ; 5434
Keyword [en]
Target recognition ; Sensors ; Interfaces ; Algorithms ; Automatic target recognition ; Cameras ; Data fusion ; Decision support systems ; Feature extraction ; Infrared cameras
National Category
Computer Vision and Robotics (Autonomous Systems)
Identifiers
URN: urn:nbn:se:liu:diva-120917DOI: 10.1117/12.540968OAI: oai:DiVA.org:liu-120917DiVA: diva2:849730
Conference
Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications, Orlando, FL, USA, April 12, 2004
Available from: 2015-08-31 Created: 2015-08-31 Last updated: 2016-08-31Bibliographically approved

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Ahlberg, JörgenGrönwall, ChristinaKlasén, LenaJungert, ErlandUlvklo, Morgan
Computer Vision and Robotics (Autonomous Systems)

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ReferencesLink to record
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