A Kalman filter based occlusion handler for lengthy occlusions

Manaram Gnanasekera, C. Kulasekere
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引用次数: 2

Abstract

A Kalman Estimation method which is used to estimate the position of an occluded object has a large error caused due to noise. In an occlusion, the work below proposes an algorithm with a proper Altering mechanism which could handle an occlusion with less error. As a result, the proposed algorithm could be used to handle much larger occlusions.
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基于卡尔曼滤波的长遮挡处理
用卡尔曼估计方法估计被遮挡物体的位置时,由于噪声的影响,误差较大。在遮挡中,本文提出了一种具有适当的改变机制的算法,可以以较小的误差处理遮挡。因此,该算法可用于处理更大的遮挡。
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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