Abstract
This paper describes the setup and realization of a distributed camera system designed to survey a laboratory area where humans and mobile manipulator robots collaborate jointly. The system consists of 40 industrial grade cameras surveying a 10 m by 10 m area from a top-down perspective, connected via Gigabit Ethernet (GigE) to a cluster of 40 computers for distributed image processing. The cameras were fully calibrated, achieving an average reprojection error of 0.13 pixels for the complete system, which exceeds state-of-the art accuracy. Current long-term testing has the system running with at least 99.994% availability for up to two weeks. Successful application tests of the system were conducted, where it was used to track the movements of robots and humans across the surveyed area.
| Original language | English |
|---|---|
| Pages (from-to) | 481-487 |
| Number of pages | 7 |
| Journal | Pattern Recognition and Image Analysis |
| Volume | 23 |
| Issue number | 4 |
| DOIs | |
| State | Published - 2013 |
Keywords
- computer vision
- multi-camera calibration
- multi-camera systems
- performance evaluation
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