Online Adapting the Magnitude of Target Birth Intensity in the PHD Filter
<p>Capturing new targets that spontaneously appear in the multi-target tracking (MTT) scene requires a formation of TBI (target birth intensity) item in the PHD (probability hypothesis density) equations. That is, in the particle implementation of the PHD filter, a number of new particles with...
Main Authors: | Tiancheng LI, Shudong SUN |
---|---|
Format: | Article |
Language: | English |
Published: |
Ediciones Universidad de Salamanca
2014-03-01
|
Series: | Advances in Distributed Computing and Artificial Intelligence Journal |
Subjects: | |
Online Access: | https://revistas.usal.es/index.php/2255-2863/article/view/11664 |
Similar Items
-
PHD Filter for Object Tracking in Road Traffic Applications Considering Varying Detectability
by: Olivér Törő, et al.
Published: (2021-01-01) -
Adaptive Measurement Partitioning Algorithm for a Gaussian Inverse Wishart PHD Filter that Tracks Closely Spaced Extended Targets
by: P. Li, et al.
Published: (2017-06-01) -
Box-Particle Implementation and Comparison of Cardinalized Probability Hypothesis Density Filter
by: L. Song, et al.
Published: (2016-04-01) -
A Robust SMC-PHD Filter for Multi-Target Tracking with Unknown Heavy-Tailed Measurement Noise
by: Yang Gong, et al.
Published: (2021-05-01) -
Gaussian Process Gaussian Mixture PHD Filter for 3D Multiple Extended Target Tracking
by: Zhiyuan Yang, et al.
Published: (2023-06-01)