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9 April 2007Multi-sensor detection and fusion technique
A multi-sensor detection and fusion technology is described in this paper. The system consists of inputs from three
sensors, Infra Red, Doppler Motion, and Stereo Video. The technique consists of three processing parts corresponding
to each sensor data, and a fusion module, which makes the final decision based on the inputs from the three parts. The
signal processing and detection algorithms process the inputs from each sensor and provides specific information to the
fusion module. The fusion module is based on the bayes belief propagation theory. It takes the processed inputs from all
of the sensor modules and provides a final decision for the presence and absence of objects, as well as their reliability
based on the iterative belief propagation algorithm operating on decision graphs. This choice of sensors is designed to
give high reliability. The infra red and Doppler provide detection ability at night, while stereo video has the ability to
analyze depth and range information. The combination of these sensors has the ability to provide a high probability of
detection and a very low false alarm rate. A prototype system was built using this technique to study the feasibility of
intrusion detection for NASA's launch danger zone protection. The system verified the potential of the proposed
algorithms and proved the feasibility of high probability of detection and low false alarm rates compared to many
existing techniques.
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Ashish Bhargave, Barry Ambrose, Freddie Lin, Manthos Kazantzidis, "Multisensor detection and fusion technique," Proc. SPIE 6571, Multisensor, Multisource Information Fusion: Architectures, Algorithms, and Applications 2007, 657109 (9 April 2007); https://doi.org/10.1117/12.719505