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Determining the feasible set of motion states in target tracking using extended set-membership filter

机译:使用扩展集成员资格滤波器确定目标跟踪中可行的运动状态集

摘要

This paper presents a new object recognition strategy for target tracking using extended set-membership filter (ESMF). Before the target recognition algorithms are applied on the sensory information, ESMF is employed to determine the demarcation of a guaranteed searching area in which the true position of the target can be certainly found. Then the target recognition algorithms will work in a smaller region rather than searching in the whole range of the sensory information. The new strategy can improve the speed and accuracy of the target recognition algorithms. Experiments are conducted to prove the feasibility of the strategy.
机译:本文提出了一种使用扩展集成员资格过滤器(ESMF)进行目标跟踪的新对象识别策略。在将目标识别算法应用于感官信息之前,采用ESMF来确定有保证的搜索区域的边界,在其中可以确定地找到目标的真实位置。然后,目标识别算法将在较小的区域内工作,而不是在整个感官信息范围内进行搜索。新策略可以提高目标识别算法的速度和准确性。实验证明了该策略的可行性。

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