A Multi-View Pedestrian Tracking Method in an Uncalibrated Camera Network

Domonkos Varga, Tamás Szirányi, Attila Kiss, László Spórás, László Havasi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Combining multiple observation views has proven beneficial for pedestrian tracking. In this paper, we present a methodology for tracking pedestrians in an uncalibrated multi-view camera network. Using a set of color and infrared cameras, we can accurately tracking pedestrians for a general scene configuration. We design an algorithmic framework that can be generalized to an arbitrary number of cameras. A novel pedestrian detection algorithm based on Center-symmetric Local Binary Patterns is integrated into the proposed system. In our experiments the common field of view of two neighboring cameras was about 30%. The system improves upon existing systems in the following ways: (1) The system registers partially overlapping camera-views automatically and does not require any manual input. (2) The system reaches the state-of-the-art performance when the common field of view of any two cameras is low and successfully integrates optical and infrared cameras. Our experiments also demonstrate that the proposed architecture is able to provide robust, real-time input to a video surveillance system. Our system was tested in a multi-view, outdoor environment with uncalibrated cameras.

Original languageEnglish
Title of host publicationProceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages184-191
Number of pages8
ISBN (Electronic)9781467383905
DOIs
Publication statusPublished - Feb 11 2015
Event15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015 - Santiago, Chile
Duration: Dec 11 2015Dec 18 2015

Publication series

NameProceedings of the IEEE International Conference on Computer Vision
Volume2015-February
ISSN (Print)1550-5499

Other

Other15th IEEE International Conference on Computer Vision Workshops, ICCVW 2015
CountryChile
CitySantiago
Period12/11/1512/18/15

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Keywords

  • Cameras
  • Detectors
  • Distortion
  • Feature extraction
  • Histograms
  • Robustness
  • Tracking

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Varga, D., Szirányi, T., Kiss, A., Spórás, L., & Havasi, L. (2015). A Multi-View Pedestrian Tracking Method in an Uncalibrated Camera Network. In Proceedings - 2015 IEEE International Conference on Computer Vision Workshops, ICCVW 2015 (pp. 184-191). [7406382] (Proceedings of the IEEE International Conference on Computer Vision; Vol. 2015-February). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCVW.2015.33