Sensor fusion for video surveillance

Lauro Snidaro, Gian Luca Foresti, Ruixin Niu, Pramod Kumar Varshney

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

33 Scopus citations

Abstract

In this paper, a multisensor data fusion system for object tracking is presented. It is able to track in real-time multiple targets in outdoor environments. The system can take advantage of the redundant information coming from different sensors monitoring the same scene. The measurements (positions of the targets) obtained from the available sources are fused together to obtain a more accurate estimate. Data fusion is performed considering sensor reliability at every time instant. A confidence measure has been employed to weight sensor data in the fusion process. Compared to single camera systems, the adopted approach has produced more accurate and continuous trajectories, reducing calibration and segmentation errors.

Original languageEnglish (US)
Title of host publicationProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
EditorsP. Svensson, J. Schubert
Pages739-746
Number of pages8
Volume2
StatePublished - 2004
EventProceedings of the Seventh International Conference on Information Fusion, FUSION 2004 - Stockholm, Sweden
Duration: Jun 28 2004Jul 1 2004

Other

OtherProceedings of the Seventh International Conference on Information Fusion, FUSION 2004
CountrySweden
CityStockholm
Period6/28/047/1/04

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Keywords

  • Multisensor data fusion
  • Object detection
  • Surveillance systems

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Snidaro, L., Foresti, G. L., Niu, R., & Varshney, P. K. (2004). Sensor fusion for video surveillance. In P. Svensson, & J. Schubert (Eds.), Proceedings of the Seventh International Conference on Information Fusion, FUSION 2004 (Vol. 2, pp. 739-746)