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Target localization in camera wireless networks
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DOI：10.1016/j.pmcj.2008.04.004.png)
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Target localization is an application of wireless sensor networks with wide applicability in homeland security scenarios including surveillance and asset protection. In this paper we present a novel sensor network that localizes with the help of two modalities: cameras and non-imaging sensors. A set of two cameras is initially used to localize the motes of a wireless sensor network. Motes subsequently collaborate to estimate the location of a target using their non-imaging sensors. Our results show that the combination of imaging and non-imaging modalities successfully achieves the dual goal of self- and target-localization. Specifically, we found through simulation and experimental validation that cameras can localize motes deployed in a 100 m x 100 m area with a few cm error. Moreover, a network of motes equipped with magnetometers can, once localized, estimate the location of magnetic targets within a few cm.
Keyword:
Multi-modal sensor networks
Camera Sensor Networks
Target detection and localization
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