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Detection and tracking of region-based evolving targets in sensor networks

机译:传感器网络中基于区域的演化目标的检测与跟踪

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Sensor networks have emerged as a promising technology for large-scale, real-time monitoring in complex environments. This paper develops in-network algorithms for the detection and tracking of region-based targets and events. We deal with such issues as network topology, event boundary detection, region merging, and region simplification and smoothing. Simulation experiments confirmed that our algorithms are efficient and accurate.
机译:传感器网络已成为大规模实时监控的有希望的技术,可在复杂的环境中进行大规模的实时监控。本文开发了网络中的网络算法,用于检测和跟踪基于区域的目标和事件。我们应对网络拓扑,事件边界检测,区域合并和区域简化和平滑等问题。仿真实验证实我们的算法是有效准确的。

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