Literature by the same author
plus at Google Scholar

Bibliografische Daten exportieren
 

Fast multi-camera reconstruction and surveillance with human tracking and optimized camera configurations

Title data

Ober-Gecks, Antje ; Hänel, Maria ; Werner, Tobias ; Henrich, Dominik:
Fast multi-camera reconstruction and surveillance with human tracking and optimized camera configurations.
In: ISR/Robotik 2014; 41st International Symposium on Robotics. - München , 2014 . - pp. 1-8

Official URL: Volltext

Project information

Project title:
Project's official title
Project's id
SIMERO
No information

Abstract in another language

Human-robot cooperation and coexistence requires robust surveillance. Our system creates a visual hull as volume approximation of humans within the work cell from images of multiple static color cameras. We present a fast, exact, and conservative reconstruction from high-resolution input data and apply temporal filtering after the reconstruction to address detection failure of the cameras. Furthermore, we avoid incorrect placement of cameras by automatically optimizing the camera positions. All processing steps handle occluding obstacles.

Further data

Item Type: Article in a book
Refereed: Yes
Keywords: Robotik; Sicherheit; off-line programming; on-line algorithms; optimization methods; Simulation; visual hull
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
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
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
Date Deposited: 19 Feb 2025 15:23
Last Modified: 15 Apr 2025 11:52
URI: https://eref.uni-bayreuth.de/id/eprint/92477