Call for Participation
We are looking for informed commentary to help communicate these results to the sensor fusion and multi-target tracking community. We see several benefits for participants to engage with this project:
Participants will become among the first in the field to learn about important developments in multi-object filtering with point processes. Some of the methods described in the papers are highly innovative, interesting, and have significant potential that has yet to be realised since they are currently unknown in the contemporary community.
It will help reinforce high quality outputs in the field of multi-target tracking. Researchers will become better informed about the roots of the domain which will help strengthen their research output.
When these results are more widely known, it is anticipated that they will stimulate new developments in the field. Participants in the project have the opportunity to be the first to use or apply the research in these articles.
Researchers will be recognised for their informed commentary on historical works.
Author guidelines for contributions to the project
The goal of the project is to inform the community about the historical literature in multi-object filtering. To achieve this goal, the project team are soliciting contributions from the community to promote different perspectives on the works.
Authors are invited to submit the following kind of contribution:
Research articles on multi-object filtering showing connections to the stochastic flow literature.
Authors are encouraged to describe the contributions on their own terms or within the context of the contemporary literature and highlight the potential utility of the works for advancing new ideas in information fusion, both theory and application.