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- W2078894185 abstract "This paper presents a real-world application of neurofuzzy processing to a security system with multiple sensor. Integrating fuzzy logic with neural networks, the authors have automated the tasks of sensor data fusion and determination of false/true alarms, which currently rely solely on human monitoring operators, so that they operate in a way similar to human reasoning. This integrated security system includes a set of heterogeneous sensor. To take advantage of each sensor's strengths, they are positioned and integrated for side, accurate, economical coverage. The system includes real-time tracking cameras functioning as true digital motion detectors with the capability of approximating the size, direction, and number of intruders. The system is also capable of real-time image segmentation based on motion, and of image recognition based on neural networks." @default.
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- W2078894185 date "1998-10-13" @default.
- W2078894185 modified "2023-09-23" @default.
- W2078894185 title "<title>Intelligent security system based on neuro-fuzzy multisensor data fusion</title>" @default.
- W2078894185 doi "https://doi.org/10.1117/12.326708" @default.
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