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Optimal camera placement to measure distances regarding static and dynamic obstacles

Title data

Hänel, Maria ; Kuhn, Stefan ; Henrich, Dominik ; Grüne, Lars ; Pannek, Jürgen:
Optimal camera placement to measure distances regarding static and dynamic obstacles.
In: International Journal of Sensor Networks. Vol. 12 (2012) Issue 1 . - pp. 25-36.
ISSN 1748-1287
DOI: https://doi.org/10.1504/IJSNET.2012.047713

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Project's id
SIMERO
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Abstract in another language

In modern production facilities industrial robots and humans are supposed to share a common working area. To avoid collisions, the distances between objects need to be measured conservatively, which can be done by a camera network. To estimate these distances, unmodelled objects, e.g. an interacting human, need to be modelled and distinguished from pre-modelled objects, like workbenches or robots, by image processing such as the background subtraction method. The quality of such an approach massively depends on the position and orientation of each camera. Of particular interest in this context is the error minimisation of the above mentioned distance determined by image processing. Here, we formulate this minimisation as an abstract optimisation problem. Moreover, we state various aspects on the implementation, e.g. reasons for the selection of a suitable optimisation method, analyse the complexity of the proposed method and present a basic version used for extensive experiments.

Further data

Item Type: Article in a journal
Refereed: Yes
Keywords: multisensor systems
Institutions of the University: Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics)
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Mathematics > Chair Mathematics V (Applied Mathematics) > Chair Mathematics V (Applied Mathematics) - Univ.-Prof. Dr. Lars Grüne
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III > Chair Applied Computer Science III - Univ.-Prof. Dr. Dominik Henrich
Profile Fields
Profile Fields > Advanced Fields
Profile Fields > Advanced Fields > Nonlinear Dynamics
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science III
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
500 Science > 510 Mathematics
Date Deposited: 13 Apr 2021 07:52
Last Modified: 20 Feb 2025 11:55
URI: https://eref.uni-bayreuth.de/id/eprint/64708