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 mult...

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Bibliographic Details
Published in:2022 3rd China International SAR Symposium (CISS) pp. 1 - 5
Main Authors: Xie, Tingyao, Feng, Feng, Lv, Yiwei, Guo, Kaisi, Zhu, Lele, OuYang, Shangrong
Format: Conference Proceeding
Language:English
Published: IEEE 02.11.2022
Subjects:
adaptive clustering
alpha-beta filter
Blindness
Clustering algorithms
Filtering
Filtering algorithms
Object detection
Radar data processing
Radar detection
Radar track initialization
Target tracking
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Summary: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.
DOI:10.1109/CISS57580.2022.9971223