Proceedings of the 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)

A tracking algorithm based on classification information

Authors
Li Ren, Zuzong Muo
Corresponding Author
Li Ren
Available Online November 2016.
DOI
https://doi.org/10.2991/aest-16.2016.12How to use a DOI?
Keywords
multiple targets tracking; lassification information; data association.
Abstract
With the development of the sensor, the sensor can get more information of targets. Therefore, Scholars start to research new information of targets and a variety of methods are emerged in the process of exploring. It is meaningful for multiple targets tracking that if the sensors can distinguish target classes. In this paper, we study how to use the target classification information to support multiple targets tracking, and we make a further improvement on the JPDA algorithm. Comparison is made in simulation to compare different methods.
Open Access
This is an open access article distributed under the CC BY-NC license.

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Proceedings
2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
Part of series
Advances in Intelligent Systems Research
Publication Date
November 2016
ISBN
978-94-6252-257-2
ISSN
1951-6851
DOI
https://doi.org/10.2991/aest-16.2016.12How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Li Ren
AU  - Zuzong Muo
PY  - 2016/11
DA  - 2016/11
TI  - A tracking algorithm based on classification information
BT  - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016)
PB  - Atlantis Press
SP  - 93
EP  - 101
SN  - 1951-6851
UR  - https://doi.org/10.2991/aest-16.2016.12
DO  - https://doi.org/10.2991/aest-16.2016.12
ID  - Ren2016/11
ER  -