基于卡尔曼滤波的长遮挡处理

2016 International Conference on Microelectronics, Computing and Communications (MicroCom) Pub Date : 1900-01-01 DOI:10.1109/MICROCOM.2016.7522545

Manaram Gnanasekera, C. Kulasekere

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引用次数: 2

摘要

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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A Kalman filter based occlusion handler for lengthy occlusions

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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2016 International Conference on Microelectronics, Computing and Communications (MicroCom)

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