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Proceedings Paper

Data fusion for target tracking and classification with wireless sensor network
Author(s): Benjamin Pannetier; Robin Doumerc; Julien Moras; Jean Dezert; Loic Canevet
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Paper Abstract

In this paper, we address the problem of multiple ground target tracking and classification with information obtained from a unattended wireless sensor network. A multiple target tracking (MTT) algorithm, taking into account road and vegetation information, is proposed based on a centralized architecture. One of the key issue is how to adapt classical MTT approach to satisfy embedded processing. Based on track statistics, the classification algorithm uses estimated location, velocity and acceleration to help to classify targets. The algorithms enables tracking human and vehicles driving both on and off road. We integrate road or trail width and vegetation cover, as constraints in target motion models to improve performance of tracking under constraint with classification fusion. Our algorithm also presents different dynamic models, to palliate the maneuvers of targets. The tracking and classification algorithms are integrated into an operational platform (the fusion node). In order to handle realistic ground target tracking scenarios, we use an autonomous smart computer deposited in the surveillance area. After the calibration step of the heterogeneous sensor network, our system is able to handle real data from a wireless ground sensor network. The performance of system is evaluated in a real exercise for intelligence operation ("hunter hunt" scenario).

Paper Details

Date Published: 21 October 2016
PDF: 20 pages
Proc. SPIE 9986, Unmanned/Unattended Sensors and Sensor Networks XII, 99860D (21 October 2016); doi: 10.1117/12.2242175
Show Author Affiliations
Benjamin Pannetier, ONERA (France)
Robin Doumerc, ONERA (France)
Julien Moras, ONERA (France)
Jean Dezert, ONERA (France)
Loic Canevet, DGA Techniques Terrestres (France)


Published in SPIE Proceedings Vol. 9986:
Unmanned/Unattended Sensors and Sensor Networks XII
Edward M. Carapezza; Panos G. Datskos; Christos Tsamis, Editor(s)

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