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)


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.


Pedestrian detection and tracking Image analysis Pedestrian safety Conflict technique 



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).


  1. 1.
    National Road Safety Council, National Road Safety Programme 2013–2020 (2013). Accessed on 20 June 2013
  2. 2.
    Szagała, P., et al.: Safety assessment of pedestrian crossings with video analysis. In: 27th ICTCT Workshop. Karlsruhe, Germany (2014)Google Scholar
  3. 3.
    Czajewski, W., Dąbkowski, P., Olszewski, P.: Innovate solutions for improving safety at pedestrian crossings. Arch. Transp. Syst. Telemat. 6(2), 16–22 (2013)Google Scholar
  4. 4.
    Bishop, R.: Intelligent Vehicle Technologies and Trends. Artech House Inc, Norwood (2005)Google Scholar
  5. 5.
    Jones, W.: Building safer cars. IEEE Spectr. 39(1), 82–85 (2002)MathSciNetCrossRefGoogle Scholar
  6. 6.
    Vlacic, L., Parent, M., Harashima, F.: Intelligent Vehicle Technologies. Butterworth-Heinemann, Oxford (2001)Google Scholar
  7. 7.
    Kocur, D., Rovnakova, J., Urdzík, D.: Short-range UWB radar application: problem of mutual shadowing between targets. Elektrorevue 2(4), 37–43 (2011)Google Scholar
  8. 8.
    Beckwidth, D.M., Hunter-Zaworski, K.M.: Passive pedestrian detection at unsignalized crossings. J. Transp. Res. Board 1636, 96–103 (1998)CrossRefGoogle Scholar
  9. 9.
    Markowitz, F., et al.: Automated Pedestrian Detection: Challenges and Opportunities, Walk21 Paper (2012)Google Scholar
  10. 10.
    Kohler, S., et al.: Early detection of the pedestrian’s intention to cross the street, In: 15th International IEEE Conference on Intelligent Transportation Systems, pp. 1759–1764 (2012)Google Scholar
  11. 11.
    Dollar, P., et al.: Pedestrian detection: an evaluation of the state of the art. IEEE Trans. Pattern Anal. Mach. Intell. 34(4), 743–761 (2011)CrossRefGoogle Scholar
  12. 12.
    Gandhi, T., Trivedi, M.: Pedestrian protection systems: issues, survey, and challenges. IEEE Trans. Intell. Transp. Syst. 8(3), 413–430 (2007)CrossRefGoogle Scholar
  13. 13.
    Geronimo, D., et al.: Survey of pedestrian detection for advanced driver assistance systems. IEEE Trans. Pattern Anal. Mach. Intell. 32(7), 1239–1258 (2010)CrossRefGoogle Scholar
  14. 14.
    Simmonet, D., et al.: Backgroundless detection of pedestrians in cluttered conditions based on monocular images: a review. Comput. Vis. IET 6(6), 540–550 (2012)CrossRefGoogle Scholar

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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