A particle dyeing approach for track continuity for the SMC-PHD filter

Tiancheng Li, Shudong Sun, Juan Manuel Corchado, Ming Fei Siyau

科研成果: 书/报告/会议事项章节会议稿件同行评审

63 引用 (Scopus)

摘要

This paper proposes a novel particle labeling (termed as 'dyeing') method for track continuity for the sequential Monte Carlo (SMC) implementation of the probability hypothesis density (PHD) filter. The Multi-Expected a Posterior (MEAP) estimator is employed to extract estimates that is of high accuracy and fast computing speed. In the estimate extracting process, particles are dyed by the color of the closest observation (different observations have different color) that corresponds to an estimate or clutter. The estimates of two successive scans are then associated with respect to their dyeing color interaction on the particles. Unlike the general labeling method, not all particles will be labeled to an estimate/track in the dyeing process. No modification is required to make on the PHD equation due to dyeing/MEAP. The proposed estimate association method is able to handle track initialization, termination, maintenance including track splitting and merging, based on observations of successive scans.

源语言英语
主期刊名FUSION 2014 - 17th International Conference on Information Fusion
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9788490123553
出版状态已出版 - 3 10月 2014
活动17th International Conference on Information Fusion, FUSION 2014 - Salamanca, 西班牙
期限: 7 7月 201410 7月 2014

出版系列

姓名FUSION 2014 - 17th International Conference on Information Fusion

会议

会议17th International Conference on Information Fusion, FUSION 2014
国家/地区西班牙
Salamanca
时期7/07/1410/07/14

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