A Survey of PHD Filtering Method Based on Random Finite Set

DOI

10.2991/icmeit-17.2017.36How to use a DOI?

Keywords

random finite set, multi-target tracking, probability hypothesis density filter

Abstract

Probability hypothesis density filter based on Random Finite Set(RFS)recently become a research hotspot for multi-sensor information fusion in the world. An overview of the emergence, the development and the present research situation of the PHD filter in target tracking is presented here. Special attention is paid to the following areas:multi-target tracking method, method of PHD filter based on random finite set and the research status of probability hypothesis density filter. Finally, the future research directions in probability hypothesis density.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Song
AU  - Jianwang Hu
AU  - Bing Ji
PY  - 2017/05
DA  - 2017/05
TI  - A Survey of PHD Filtering Method Based on Random Finite Set
BT  - Proceedings of the 2nd International Conference on Mechatronics Engineering and Information Technology (ICMEIT 2017)
PB  - Atlantis Press
SP  - 199
EP  - 204
SN  - 2352-538X
UR  - https://doi.org/10.2991/icmeit-17.2017.36
DO  - 10.2991/icmeit-17.2017.36
ID  - Song2017/05
ER  -