학술논문
Improved Multi-target Tracking Algorithm Based on Gaussian Mixture Particle PHD Filter
Document Type
Article
Text
Text
Author
Source
International Journal of Multimedia and Ubiquitous Engineering, 02/28/2015, Vol. 10, Issue 2, p. 227-236
Subject
Language
영어(ENG)
ISSN
1975-0080
Abstract
The paper proposes Gaussian mixture particle probability hypothesis density filter(PHD) algorithm ,which can effectively solve the problem that the object number is changing or unknown, based on particle PHD filter. This algorithm calculates the object number and state by recursive procedure, avoiding the uncertainty of target state estimation caused by particle sampling and clustering. Gaussian mixture particle is introduced to effectively maintain the multi-modal distribution of each target，reducing the complexity of calculation.