Adaptive Collaborative Gaussian Mixture Probability Hypothesis Density Filter for Multi-Target Tracking

In this paper, an adaptive collaborative Gaussian Mixture Probability Hypothesis Density (ACo-GMPHD) filter is proposed for multi-target tracking with automatic track extraction. Based on the evolutionary difference between the persistent targets and the birth targets, the measurements are adaptivel...

Full description

Bibliographic Details
Main Authors: Feng Yang, Yongqi Wang, Hao Chen, Pengyan Zhang, Yan Liang
Format: Article
Language:English
Published: MDPI AG 2016-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/16/10/1666

Similar Items