Multi-view people surveillance using 3D information

Davide Baltieri, Roberto Vezzani, Rita Cucchiara, Ákos Utasi, Csaba Benedek, Tamas Sziranyi

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

17 Citations (Scopus)

Abstract

In this paper we introduce a novel surveillance system, which uses 3D information extracted from multiple cameras to detect, track and re-identify people. The detection method is based on a 3D Marked Point Process model using two pixel-level features extracted from multi-plane projections of binary foreground masks, and uses a stochastic optimization framework to estimate the position and the height of each person. We apply a rule based Kalman-filter tracking on the detection results to find the object-to-object correspondence between consecutive time steps. Finally, a 3D body model based long-term tracking module connects broken tracks and is also used to re-identify people.

Original languageEnglish
Title of host publicationProceedings of the IEEE International Conference on Computer Vision
Pages1817-1824
Number of pages8
DOIs
Publication statusPublished - 2011
Event2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011 - Barcelona, Spain
Duration: Nov 6 2011Nov 13 2011

Other

Other2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011
CountrySpain
CityBarcelona
Period11/6/1111/13/11

Fingerprint

Kalman filters
Masks
Pixels
Cameras

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition

Cite this

Baltieri, D., Vezzani, R., Cucchiara, R., Utasi, Á., Benedek, C., & Sziranyi, T. (2011). Multi-view people surveillance using 3D information. In Proceedings of the IEEE International Conference on Computer Vision (pp. 1817-1824). [6130469] https://doi.org/10.1109/ICCVW.2011.6130469

Multi-view people surveillance using 3D information. / Baltieri, Davide; Vezzani, Roberto; Cucchiara, Rita; Utasi, Ákos; Benedek, Csaba; Sziranyi, Tamas.

Proceedings of the IEEE International Conference on Computer Vision. 2011. p. 1817-1824 6130469.

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

Baltieri, D, Vezzani, R, Cucchiara, R, Utasi, Á, Benedek, C & Sziranyi, T 2011, Multi-view people surveillance using 3D information. in Proceedings of the IEEE International Conference on Computer Vision., 6130469, pp. 1817-1824, 2011 IEEE International Conference on Computer Vision Workshops, ICCV Workshops 2011, Barcelona, Spain, 11/6/11. https://doi.org/10.1109/ICCVW.2011.6130469
Baltieri D, Vezzani R, Cucchiara R, Utasi Á, Benedek C, Sziranyi T. Multi-view people surveillance using 3D information. In Proceedings of the IEEE International Conference on Computer Vision. 2011. p. 1817-1824. 6130469 https://doi.org/10.1109/ICCVW.2011.6130469
Baltieri, Davide ; Vezzani, Roberto ; Cucchiara, Rita ; Utasi, Ákos ; Benedek, Csaba ; Sziranyi, Tamas. / Multi-view people surveillance using 3D information. Proceedings of the IEEE International Conference on Computer Vision. 2011. pp. 1817-1824
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