Cargando…
FISST Based Method for Multi-Target Tracking in the Image Plane of Optical Sensors
A finite set statistics (FISST)-based method is proposed for multi-target tracking in the image plane of optical sensors. The method involves using signal amplitude information in probability hypothesis density (PHD) filter which is derived from FISST to improve multi-target tracking performance. Th...
Autores principales: | Xu, Yang, Xu, Hui, An, Wei, Xu, Dan |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Molecular Diversity Preservation International (MDPI)
2012
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3376575/ https://www.ncbi.nlm.nih.gov/pubmed/22736984 http://dx.doi.org/10.3390/s120302920 |
Ejemplares similares
-
Multi-Target Tracking AA Fusion Method for Asynchronous Multi-Sensor Networks
por: Wang, Kuiwu, et al.
Publicado: (2023) -
Analytic Performance Prediction of Track-to-Track Association with Biased Data in Multi-Sensor Multi-Target Tracking Scenarios
por: Tian, Wei, et al.
Publicado: (2013) -
An Improved Q-Learning-Based Sensor-Scheduling Algorithm for Multi-Target Tracking
por: Qu, Zhiyi, et al.
Publicado: (2022) -
Dual Sensor Control Scheme for Multi-Target Tracking
por: Li, Wei, et al.
Publicado: (2018) -
Extended Target Tracking and Feature Estimation for Optical Sensors Based on the Gaussian Process
por: Yu, Haoyang, et al.
Publicado: (2019)