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Decentralized tracking of humans using a camera network

Sebastian Grünwedel UGent, Vedran Jelača UGent, Jorge Niño Castañeda UGent, Peter Van Hese UGent, Dimitri Van Cauwelaert UGent, Peter Veelaert UGent and Wilfried Philips UGent (2012) PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 8301.
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. The problem is 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. Realtime processing is achieved by distributing tasks between the cameras and a central server. 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 meta data to a local fusion center. 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.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
decentralized architecture, computer vision, MAPS, SCENE, PEOPLE, MULTIVIEW APPROACH, sensor fusion, target tracking, multi-camera tracking, occupancy mapping
in
PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
Proc. SPIE Int. Soc. Opt. Eng.
editor
J Roning and DP Casasent
volume
8301
issue title
Intelligent robots and computer vision XXIX : algorirhms and techniques
article_number
83010D
pages
9 pages
publisher
SPIE
place of publication
Bellingham, WA, USA
conference name
Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques
conference location
Burlingame, CA, USA
conference start
2012-01-23
conference end
2012-01-24
Web of Science type
Proceedings Paper
Web of Science id
000300178300012
ISSN
0277-786X
ISBN
9780819489487
DOI
10.1117/12.907082
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2027416
handle
http://hdl.handle.net/1854/LU-2027416
date created
2012-02-10 19:33:21
date last changed
2013-10-22 11:06:19
@inproceedings{2027416,
  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. The problem is 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. Realtime processing is achieved by distributing tasks between the cameras and a central server. 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 meta data to a local fusion center. 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.},
  articleno    = {83010D},
  author       = {Gr{\"u}nwedel, Sebastian and Jela\v{c}a, Vedran and Ni{\~n}o Casta{\~n}eda, Jorge and Van Hese, Peter and Van Cauwelaert, Dimitri and Veelaert, Peter and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING},
  editor       = {Roning, J and Casasent, DP },
  isbn         = {9780819489487},
  issn         = {0277-786X},
  keyword      = {decentralized architecture,computer vision,MAPS,SCENE,PEOPLE,MULTIVIEW APPROACH,sensor fusion,target tracking,multi-camera tracking,occupancy mapping},
  language     = {eng},
  location     = {Burlingame, CA, USA},
  pages        = {9},
  publisher    = {SPIE},
  title        = {Decentralized tracking of humans using a camera network},
  url          = {http://dx.doi.org/10.1117/12.907082},
  volume       = {8301},
  year         = {2012},
}

Chicago
Grünwedel, Sebastian, Vedran Jelaca, Jorge Niño Castañeda, Peter Van Hese, Dimitri Van Cauwelaert, Peter Veelaert, and Wilfried Philips. 2012. “Decentralized Tracking of Humans Using a Camera Network.” In Proceedings of Spie, the International Society for Optical Engineering, ed. J Roning and DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE.
APA
Grünwedel, S., Jelaca, V., Niño Castañeda, J., Van Hese, P., Van Cauwelaert, D., Veelaert, P., & Philips, W. (2012). Decentralized tracking of humans using a camera network. In J. Roning & D. Casasent (Eds.), PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING (Vol. 8301). Presented at the Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques, Bellingham, WA, USA: SPIE.
Vancouver
1.
Grünwedel S, Jelaca V, Niño Castañeda J, Van Hese P, Van Cauwelaert D, Veelaert P, et al. Decentralized tracking of humans using a camera network. In: Roning J, Casasent D, editors. PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. Bellingham, WA, USA: SPIE; 2012.
MLA
Grünwedel, Sebastian, Vedran Jelaca, Jorge Niño Castañeda, et al. “Decentralized Tracking of Humans Using a Camera Network.” Proceedings of Spie, the International Society for Optical Engineering. Ed. J Roning & DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE, 2012. Print.