Detection, Classification and Tracking of Targets in Distributed Sensor Networks
Detection, Classification and Tracking of Targets in Distributed Sensor Networks
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发表时间：
2002
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通讯作者：
Dan Li;K. Wong;Y. Hu;A. Sayeed
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作者：
Dan Li;K. Wong;Y. Hu;A. Sayeed
我们概述了分布式传感器网络中协作信号处理的框架。这些想法是在跟踪传感器场中的多个移动物体的背景下提出的。跟踪过程涉及的关键步骤包括事件检测、目标分类以及目标位置的估计和预测。讨论了各种任务的算法，重点是分类。报告基于真实数据实验的结果，为了解问题的本质提供了有用的见解。确定了未来研究的问题、挑战和方向。
We outline a framework for collaborative signal processing in distributed sensor networks. The ideas are presented in the context of tracking multiple moving objects in a sensor field. The key steps involved in the tracking procedure include event detection, target classification, and estimation and prediction of target location. Algorithms for various tasks are discussed with an emphasis on classification. Results based on experiments with real data are reported which provide useful insights into the essential nature of the problems. Issues, challenges and directions for future research are identified.