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Video Processing for Detection and Tracking of Pedestrians and Vehicles at Zebra Crossings

  • Witold CzajewskiEmail author
  • Paweł Mrówka
  • Piotr Olszewski
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 531)

Abstract

This paper describes results of experiments with camera setup, calibration and image processing algorithms for automatic detection and tracking of pedestrians and vehicles. The aim of the MOBIS project was to develop a method of assessing safety of unsignalised pedestrian crossings. Correct detection and tracking proved to be more difficult in the case of pedestrians than vehicles due to variability in people’s appearance, movement in groups and poor visibility in bad weather. Application of cameras with built-in pedestrian tracking programs was successful only in very good visibility conditions, so a computationally efficient PC algorithm providing a high pedestrian detection rate was used instead. The paper presents comparison of results obtained using different image processing methods as well as selected problems of pedestrian tracking. Statistical analysis of pedestrian behaviour with and without vehicles present is also shown. The proposed approach seems to be accurate enough for the purpose of assessing pedestrian safety.

Keywords

Pedestrian detection and tracking Image analysis Pedestrian safety Conflict technique 

Notes

Acknowledgments

The research reported in this paper is a part of the project MOBIS which was funded by the Polish National Centre for Research and Development (NCBiR).

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Witold Czajewski
    • 1
    Email author
  • Paweł Mrówka
    • 2
  • Piotr Olszewski
    • 3
  1. 1.Faculty of Electrical EngineeringWarsaw University of TechnologyWarsawPoland
  2. 2.Neurosoft Sp. z o.o.WrocławPoland
  3. 3.Faculty of Civil EngineeringWarsaw University of TechnologyWarsawPoland

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