Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking

Application of Particle Filter Algorithm Based on Gaussian Clustering in Dynamic Target Tracking

In order to solve the problem of particle depletion and complexity in traditional particle filtering, a particle filter target tracking method based on Gaussian clustering is proposed in this paper. Combined with adaptive double-sampling and gradmethod, the real time and robustness of dynamic tracki...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Pattern recognition and image analysis 2019-07, Vol.29 (3), p.559-564
Hauptverfasser: Yang, Kai, Wang, Jun, Shen, Zhengwen, Pan, Zaiyu, Yu, Wenhui
Format: Artikel
Sprache:eng
Schlagworte:
Adaptive sampling
Algorithms
Applied Problems
Clustering
Computer Science
Depletion
Image Processing and Computer Vision
Pattern Recognition
Tracking
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung:In order to solve the problem of particle depletion and complexity in traditional particle filtering, a particle filter target tracking method based on Gaussian clustering is proposed in this paper. Combined with adaptive double-sampling and gradmethod, the real time and robustness of dynamic tracking are improved significantly.
ISSN:1054-6618
1555-6212
DOI:10.1134/S1054661819030106