基于自适应聚类的运动目标检测算法

2022 3rd China International SAR Symposium (CISS) Pub Date : 2022-11-02 DOI:10.1109/CISS57580.2022.9971223

Tingyao Xie, Feng Feng, Yiwei Lv, K. Guo, Lele Zhu, Shangrong Ouyang

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引用次数: 0

摘要

提出了一种基于自适应聚类和α - β滤波的多运动目标检测技术，并将其应用于运动目标的检测与跟踪。该算法的主要特点是自适应选择初始聚类中心。可同时对多个目标进行航迹起始，降低了目标搜索的盲目性，提高了雷达航迹起始的可靠性和效率。实验证明了该算法的有效性和可靠性。

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Moving Object Detection Algorithm Based on Adaptive Clustering

A multi-moving target detection technique based on adaptive clustering and alpha-beta filtering is proposed and applied to the detection and tracking of moving targets. The main feature of this algorithm is the adaptive selection of initial cluster centers. Track initiation can be performed for multiple targets at the same time, which reduces the blindness of target search and improves the reliability and efficiency of radar track initiation. Experiments have proved the effectiveness and reliability of the algorithm.

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2022 3rd China International SAR Symposium (CISS)

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