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...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:2022 3rd China International SAR Symposium (CISS) s. 1 - 5
Hlavní autoři: Xie, Tingyao, Feng, Feng, Lv, Yiwei, Guo, Kaisi, Zhu, Lele, OuYang, Shangrong
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 02.11.2022
Témata:
adaptive clustering
alpha-beta filter
Blindness
Clustering algorithms
Filtering
Filtering algorithms
Object detection
Radar data processing
Radar detection
Radar track initialization
Target tracking
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí: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