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Proceedings Paper

Arbitrary object localization and tracking via multiple-camera surveillance system embedded in a parking garage
Author(s): André Ibisch; Sebastian Houben; Matthias Michael; Robert Kesten; Florian Schuller
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Paper Abstract

We illustrate a multiple-camera surveillance system installed in a parking garage to detect arbitrary moving objects. Our system is real-time capable and computes precise and reliable object positions. These objects are tracked to warn of collisions, e.g. between vehicles, pedestrians or other vehicles. The proposed system is based on multiple grayscale cameras connected by a local area network.

Each camera shares its field of view with other cameras to handle occlusions and to enable multi-view vision. We aim at using already installed hardware found in many modern public parking garages. The system’s pipeline starts with the synchronized image capturing process separately for each camera. In the next step, moving objects are selected by a foreground segmentation approach. Subsequently, the foreground objects from a single camera are transformed into view rays in a common world coordinate system and are joined to receive plausible object hypotheses. This transformation requires a one-time initial intrinsic and extrinsic calibration beforehand. Afterwards, these view rays are filtered temporally to arrive at continuous object tracks. In our experiments we used a precise LIDAR-based reference system to evaluate and quantify the proposed system’s precision with a mean localization accuracy of 0.24m for different scenarios.

Paper Details

Date Published: 4 March 2015
PDF: 12 pages
Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070G (4 March 2015);
Show Author Affiliations
André Ibisch, Ruhr-Univ. Bochum (Germany)
Sebastian Houben, Ruhr-Univ. Bochum (Germany)
Matthias Michael, Ruhr-Univ. Bochum (Germany)
Robert Kesten, GIGATRONIK Ingolstadt GmbH (Germany)
Florian Schuller, AUDI AG (Germany)

Published in SPIE Proceedings Vol. 9407:
Video Surveillance and Transportation Imaging Applications 2015
Robert P. Loce; Eli Saber, Editor(s)

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