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Proceedings Paper

Decentralized tracking of humans using a camera network
Author(s): Sebastian Gruenwedel; Vedran Jelaca; Jorge Oswaldo Niño-Castañeda; Peter Van Hese; Dimitri Van Cauwelaert; Peter Veelaert; Wilfried Philips
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Paper Abstract

Real-time tracking of people has many applications in computer vision and typically requires multiple cameras; for instance for surveillance, domotics, elderly-care and video conferencing. However, this problem is very challenging because of the need to deal with frequent occlusions and environmental changes. Another challenge is to develop solutions which scale well with the size of the camera network. Such solutions need to carefully restrict overall communication in the network and often involve distributed processing. In this paper we present a distributed person tracker, addressing the aforementioned issues. Real-time processing is achieved by distributing tasks between the cameras and a fusion node. The latter fuses only high level data based on low-bandwidth input streams from the cameras. This is achieved by performing tracking first on the image plane of each camera followed by sending only metadata to a local fusion node. We designed the proposed system with respect to a low communication load and towards robustness of the system. We evaluate the performance of the tracker in meeting scenarios where persons are often occluded by other persons and/or furniture. We present experimental results which show that our tracking approach is accurate even in cases of severe occlusions in some of the views.

Paper Details

Date Published: 23 January 2012
PDF: 9 pages
Proc. SPIE 8301, Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques, 83010D (23 January 2012); doi: 10.1117/12.907082
Show Author Affiliations
Sebastian Gruenwedel, Univ. Gent (Belgium)
Vedran Jelaca, Univ. Gent (Belgium)
Jorge Oswaldo Niño-Castañeda, Univ. Gent (Belgium)
Peter Van Hese, Univ. Gent (Belgium)
Dimitri Van Cauwelaert, Univ. Gent (Belgium)
Peter Veelaert, Univ. Gent (Belgium)
Wilfried Philips, Univ. Gent (Belgium)

Published in SPIE Proceedings Vol. 8301:
Intelligent Robots and Computer Vision XXIX: Algorithms and Techniques
Juha Röning; David P. Casasent, Editor(s)

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