Editing Projects:Software framework for multi-sensory environments

== Overview == 

The tracking output of the Vicon system and the Acoustic tracking system (and maybe additional options, such as visual tracking) have to be fused into joint tracks for individuals, ideally augmenting each other, leading to a more robust and accurate track estimate.

Closely related to [[Projects:Improve tracking of individual markers and marker patterns]] and [[Projects:Augment marker tracking with visual tracking]].

== Contact ==

* Mate Nagy, mnagy@ab.mpg.de
* Hemal Naik, hnaik@ab.mpg.de
* Bastian Goldluecke, bastian.goldluecke@uni-konstanz.de

== Aims ==

List the aims of your project, or what you expect anyone taking up the project is supposed to hopefully achieve. The more specific, the better.


== Estimated level of difficulty ==

If you have an estimate, classify level of difficulty according to
the description of the CCU in the cluster proposal into
* Standard problems which just require applying existing methods (Hiwi level)
* Elaborate problems which require substantial adaptation or extension of existing methods (Master student level)
* Special problems which require research of entirely new methods and might lead to a paper or two (Ph.D. student level)
Maybe add a short clarification of what you believe are the main difficulties, and why you believe this is the right classification.


== Provided data ==

Give a specific description of the datasets you provide or can provide which people need to use to solve your problem. If available and/or necessary, also suggest some means for reading the data format. If you can provide links to the data so people can download an take a look, all the better. Also list any known limitations, whether you can easily acquire/record new data, or any other useful information.

<strong>Note:</strong> Once the CCU server is up and running, datasets should be stored there for easy availability. See the howtos on storage for details.


== Suggested/tested approaches ==

If you have an idea about how to approach the problem, or have tried something already which did not work well, please provide details here. If available, link some papers or code which might provide a possible solution or algorithm.