PASSENGER COUNTING IN PUBLIC RAIL TRANSPORT - Using Head-Shoulder Contour Tracking

Pieterjan De Potter, Philippe Belet, Chris Poppe, Steven Verstockt, Peter Lambert, Rik Van de Walle

2012

Abstract

Automated people counting has multiple applications: referring passengers to vehicles with empty seats, gathering statistical information for railway companies to improve their distribution of vehicles, etc. In this paper, a people counting algorithm for public transport vehicles is presented. First, head-shoulder contours are detected by adaboost classification of a combination of a histogram of oriented gradients features and a color histogram. An integral histogram and integral image are used to speed up the extraction of these features. The results of the classification process are clustered and these clusters are tracked by a Kalman filter using a custom error covariance matrix. Finally, the path followed by an observed person is evaluated in order to count passengers entering and exiting the vehicle. Evaluation shows that this approach performs better than previous approaches, especially in scenarios with occlusions.

References

  1. Dalal, N. and Triggs, B. (2005). Histograms of Oriented Gradients for Human Detection. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pages 886-893.
  2. De Potter, P., Billiet, C., Poppe, C., Stubbe, B., Verstockt, S., Lambert, P., and Van de Walle, R. (2010a). Available Seat Counting in Public Rail Transport. In Progress in Electromagnetics Research Symposium, pages 1294-1298.
  3. De Potter, P., Kypraios, I., Verstockt, S., Poppe, C., and Van de Walle, R. (2010b). Automatic Available Seat Counting In Public Rail Transport Using Wavelets. In Electronics in Marine, pages 79-83.
  4. Dujmovic, J. J. (1996). A Method For Evaluation And Selection Of Complex Hardware And Software Systems. In Computer Measurement Group Conference, pages 368-378.
  5. Freund, Y. and Schapire, R. (1997). A Decision-theoretic Generalization of On-line Learning and an Application to Boosting. Journal of Computer and System Sciences, 55(1):119-139.
  6. Isard, M. and Blake, A. (1998). Condensation - conditional density propagation for visual tracking. International Journal of Computer Vision, 29(1):5-28.
  7. Li, M., Zhang, Z., Huang, K., and Tan, T. (2009). Rapid and Robust Human Detection and Tracking Based on Omega-Shape Features. In IEEE International Conference on Image Processing, pages 2545-2548.
  8. Manning, C. D., Raghavan, P., and Schütze, H. (2008). Introduction to Information Retrieval, pages 378-382. Cambridge University Press.
  9. Porikli, F. (2005). Integral Histogram: a Fast Way to Extract Histograms in Cartesian Spaces. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition vol. 1, pages 829-836.
  10. Viola, P. and Jones, M. (2004). Robust Real-time Face Detection. Ineternational Journal of Computer Vision, 57(2):137-154.
  11. Vu, V.-T., Bremond, F., Davini, G., Thonnat, M., Pham, Q.- C., Allezard, N., Sayd, P., Rouas, J.-L., Ambellouis, S., and Flancquart, A. (2006). Audio-video Event Recognition System for Public Transport Security. In IET Conference on Crime and Security, page 6 pp.
  12. Welch, G. and Bishop, G. (1995). An Introduction to the Kalman Filter. Technical report, University of North Carolina at Chapel Hill.
  13. Yahiaoui, T., Meurie, C., Khoudour, L., and Cabestaing, F. (2008). A people Counting System Based on Dense and Close Stereovision. In International Conference on Image and Signal Processing, pages 59-66.
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Paper Citation


in Harvard Style

De Potter P., Belet P., Poppe C., Verstockt S., Lambert P. and Van de Walle R. (2012). PASSENGER COUNTING IN PUBLIC RAIL TRANSPORT - Using Head-Shoulder Contour Tracking . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012) ISBN 978-989-8565-03-7, pages 705-708. DOI: 10.5220/0003846207050708


in Bibtex Style

@conference{visapp12,
author={Pieterjan De Potter and Philippe Belet and Chris Poppe and Steven Verstockt and Peter Lambert and Rik Van de Walle},
title={PASSENGER COUNTING IN PUBLIC RAIL TRANSPORT - Using Head-Shoulder Contour Tracking},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)},
year={2012},
pages={705-708},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003846207050708},
isbn={978-989-8565-03-7},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2012)
TI - PASSENGER COUNTING IN PUBLIC RAIL TRANSPORT - Using Head-Shoulder Contour Tracking
SN - 978-989-8565-03-7
AU - De Potter P.
AU - Belet P.
AU - Poppe C.
AU - Verstockt S.
AU - Lambert P.
AU - Van de Walle R.
PY - 2012
SP - 705
EP - 708
DO - 10.5220/0003846207050708