392270 ISY Project: Event-based visual tracking of electric fish (Pj) (SoSe 2017)
Contents, comment
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- Short Description
Measuring the electric field generated by *weakly electric fish* requires
precise positioning of probes in relation to the fish. This project aims to
leverage the high temporal resolution of *event based vision sensors* to track
fish during experiments. This tracking information will be used to control the
positioning of a *three axis gantry* fitted with an electric probe.This project will be conducted in collaboration with the *Active Sensing* group of the biology department.
- Required skills
Familiarity with a "fast" programming language (e.g. C/C++,Rust,Haskell,etc) is needed due to the real-time aspect of this project. Experience with the following devices is preferred but not necessary: event based vision sensors (e.g. DVS128, ATIS), three axis gantries (i.e. 3d printers).
Please note that the teams will be selected by the supervisors on the basis of short applications that students are expected to send to them. Registering to the project in the ekVV will only be regarded as expression of interest; it will not secure a team membership.
Please get in touch with the supervisors for information on the application procedure.
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
Subject assignments
| Module | Course | Requirements | |
|---|---|---|---|
| 39-M-Inf-GP Grundlagenprojekt Intelligente Systeme | Gruppenprojekt | Ungraded examination
|
Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
- Address:
- SS2017_392270@ekvv.uni-bielefeld.de
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- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Thursday, January 26, 2017
- Last update times:
- Wednesday, January 18, 2017
- Last update rooms:
- Wednesday, January 18, 2017
- Type(s) / SWS (hours per week per semester)
- project (Pj) / 4
- Department
- Faculty of Technology
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