Projects:Software framework for multi-sensory environments

Overview

The purpose of this project is to develop of a software framework that will allow effective use of experimental facilities with multiple sensors e.g. imaging barn. The framework will standardize the process of synchronized data collection, data sharing (formats) and data manipulation (processing). Such standardization will promote collaborative development and support technology or methods transfer between different facilities i.e. Barn, Imaging Hangar, human tracking facility at Psychology Dept.

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

Details:File:Cluster-Medium-Project-Grant HemalNaik.pdf

Contact

• Hemal Naik, hnaik@ab.mpg.de
• Mathias Günther (long term support), mathias.guenther@uni-konstanz.de

Collaborators

• Oliver Deussen (host)
• Iain Couzin
• Britta Renner
• Mate Nagy, mnagy@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.

Note: 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.