Share Email Print

Proceedings Paper

A new omni-directional multi-camera system for high resolution surveillance
Author(s): Omer Cogal; Abdulkadir Akin; Kerem Seyid; Vladan Popovic; Alexandre Schmid; Beat Ott; Peter Wellig; Yusuf Leblebici
Format Member Price Non-Member Price
PDF $17.00 $21.00

Paper Abstract

Omni-directional high resolution surveillance has a wide application range in defense and security fields. Early systems used for this purpose are based on parabolic mirror or fisheye lens where distortion due to the nature of the optical elements cannot be avoided. Moreover, in such systems, the image resolution is limited to a single image sensor’s image resolution. Recently, the Panoptic camera approach that mimics the eyes of flying insects using multiple imagers has been presented. This approach features a novel solution for constructing a spherically arranged wide FOV plenoptic imaging system where the omni-directional image quality is limited by low-end sensors. In this paper, an overview of current Panoptic camera designs is provided. New results for a very-high resolution visible spectrum imaging and recording system inspired from the Panoptic approach are presented. The GigaEye-1 system, with 44 single cameras and 22 FPGAs, is capable of recording omni-directional video in a 360°×100° FOV at 9.5 fps with a resolution over (17,700×4,650) pixels (82.3MP). Real-time video capturing capability is also verified at 30 fps for a resolution over (9,000×2,400) pixels (21.6MP). The next generation system with significantly higher resolution and real-time processing capacity, called GigaEye-2, is currently under development. The important capacity of GigaEye-1 opens the door to various post-processing techniques in surveillance domain such as large perimeter object tracking, very-high resolution depth map estimation and high dynamicrange imaging which are beyond standard stitching and panorama generation methods.

Paper Details

Date Published: 22 May 2014
PDF: 9 pages
Proc. SPIE 9120, Mobile Multimedia/Image Processing, Security, and Applications 2014, 91200N (22 May 2014); doi: 10.1117/12.2049698
Show Author Affiliations
Omer Cogal, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Abdulkadir Akin, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Kerem Seyid, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Vladan Popovic, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Alexandre Schmid, Ecole Polytechnique Fédérale de Lausanne (Switzerland)
Beat Ott, Armasuisse (Switzerland)
Peter Wellig, Armasuisse (Switzerland)
Yusuf Leblebici, Ecole Polytechnique Fédérale de Lausanne (Switzerland)

Published in SPIE Proceedings Vol. 9120:
Mobile Multimedia/Image Processing, Security, and Applications 2014
Sos S. Agaian; Sabah A. Jassim; Eliza Yingzi Du, Editor(s)

© SPIE. Terms of Use
Back to Top
Sign in to read the full article
Create a free SPIE account to get access to
premium articles and original research
Forgot your username?