Title data
Fischer, Markus ; Henrich, Dominik:
Surveillance of Robots using Multiple Colour or Depth Cameras with Distributed Processing.
In:
Third ACM/IEEE International Conference on Distributed Smart Cameras. -
Como, Italy
,
2009
. - pp. 1-8
DOI: https://doi.org/10.1109/ICDSC.2009.5289381
Related URLs
Project information
Project title: |
Project's official title Project's id SIMERO No information |
---|
Abstract in another language
We introduce a general approach for surveillance of robots using depth images of multiple distributed smart cameras which can be either standard colour cameras or depth cameras. Unknown objects intruding the robot workcell are detected in the camera images and the minimum distance between the robot and all these detected unknown objects is calculated. The surveillance system is built as master-slave architecture with one slave per distributed camera. The level of distributed processing on the slaves (from pure image acquisition up to minimum distance calculation) controls the remaining computations on the master and thus the quality of approximation of the detected unknown objects. The calculated minimum distance and the asymptotic overall surveillance cycle time are evaluated in experiments.
Further data
Item Type: | Article in a book |
---|---|
Refereed: | Yes |
Keywords: | Surveillance; Color; Robot vision systems; Distributed processing; Smart cameras; Object detection; Master-slave; Intelligent robots; Computer architecture; Distributed computing; surveillance; collision detection; multi-view reconstruction; depth cameras; colour cameras |
Institutions of the University: | 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 |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science |
Date Deposited: | 20 Feb 2025 15:15 |
Last Modified: | 20 Feb 2025 15:15 |
URI: | https://eref.uni-bayreuth.de/id/eprint/92507 |