多目标环境下目标轨迹的检测

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes Pub Date : 1900-01-01 DOI:10.1109/CDC.1978.268123

M. Smith, E. Winter

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引用次数: 12

摘要

跟踪和最终识别紧密间隔的物体是许多监视系统感兴趣的领域。近年来，许多工作都集中在优化初始检测的更“前端”问题上。然而，无论信噪比如何，交叉轨道和平行轨道的分类和处理都是一个问题。本文研究了一种模式识别方法的应用。开发了模拟航迹场景，并利用该场景对该方法进行了评估。给出了性能实例和仿真研究结果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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On the detection of target trajectories in a multi target environment

The tracking and ultimate identification of closely spaced objects is an area of interest to many surveillance systems. Much effort in recent years has been concentrated on the more "front-end" problem of optimizing the initial detection. However, the sorting and processing of crossing tracks and parallel tracks is a problem regardless of signal to noise ratio. In this paper, the application of a pattern recognition approach is investigated. A simulated track scenario is developed and the approach evaluated using the scenario. Examples of performance and results of the simulation study are given.

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来源期刊

1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes

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