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The effect of physical factors on crowd walking behavior at religious gatherings

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Abstract

In order to assess and increase the safety at most crowded places like transportation terminals, political, cultural, religious gatherings, stadiums etc., the crowd behavior is to be understood since the paths followed by all individuals in the crowd are unpredictable in complex situations. The increasing number of persons in the crowd with different behavior reduces the speeds of individuals due to the more interactions. The speed of the each individual in the crowd is affected by their physical factors like age, gender, luggage, etc. In this study, the effect of factors (gender, age, and luggage) on crowd speed is studied and analyzed. The speeds of the persons in the crowd are extracted by using TRACKER software. The count of persons in each frame is done by MATLAB using foreground detection by background subtraction. Statistical tests are conducted on the speed by using physical factors to know the significance difference between various groups and also the speed–flow–density relationships are developed. From the statistical tests, it was shown that the age and gender effect is more on the speed and there is no effect of luggage on speed. The observations of this study into the reasons for critical crowd conditions are important for the organization of safer mass events.

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References

  • Aldhaheri, A.R., Edirisinghe, E.A.: Detection and classification of a moving object in a video stream. In: Proceedings of the International Conference on Advances in Computing and Information Technology (2014)

  • Aslani, A., Mahdavi-Nasab, H.: Optical flow based moving object detection and tracking for traffic surveillance. Int. J. Electr. Comput. Energetic Electron. Commun. Eng. 7(9), 789–793 (2013)

    Google Scholar 

  • Azari, M., Seyfi, A., Rezaie, A.H.: Real time multiple object tracking and occlusion reasoning using adaptive kalman filters. In: Machine Vision and Image Processing, pp. 1–5 (2011)

  • Candamo, J., Shreve, M., Goldgof, D.B., Sapper, D.B., Kasturi, R.: Understanding transit scenes: a survey on human behavior-recognition algorithms. IEEE Trans. Intell. Transp. Syst. 11(1), 206–224 (2010)

    Article  Google Scholar 

  • Fruin, J.J.: Pedestrian planning and design. Elevator World, New York (1971)

    Google Scholar 

  • Gopala Krishna, M.T., Ravishankar, M., Ramesh Babu, D.R.: Automatic detection and tracking of moving objects in complex environments for video surveillance applications. In: 3rd International Conference on Electronics Computer Technology, vol. 1, pp. 234–239 (2011)

  • Hoogendoorn, S.P., Daamen, W., Bovy, P.H.L.: Extracting Microscopic Pedestrian Characteristics from Video Data TRB Annual Meeting (2016)

  • Kim, H.B., Sim, K.B.: A particular object tracking in an environment of multiple moving objects. In: IEEE International Conference on Control, Automation and Systems (2010)

  • Li, X., Wang, K., Wang, W., et al.: A multiple object tracking method using Kalman filter. In: IEEE International Conference on Information and Automation, pp. 1862–1866 (2010)

  • Mohan, A.S., Resmi, R.: Video image processing for moving object detection and segmentation using background subtraction. In: IEEE International Conference on Computational Systems and Communications, vol. 1(1), pp. 288–292 (2014)

  • Older, S.J.: Movement of pedestrians on footways in shopping streets. Traffic Eng. Control 10(4), 160–163 (1968)

    Google Scholar 

  • Quan, S., Zhixing, T., Songchen, H.: Hierarchical code book for background subtraction in MRF. Infrared Phys. Technol. 61, 259–264 (2013)

    Article  Google Scholar 

  • Saravanakumar, S., Vadivel, A., Saneem Ahmed, C.G.: Multiple human object tracking using background subtraction and shadow removal techniques. In: International Conference on Signal and Image Processing, pp. 79–84 (2010)

  • Sarkar, S.: Determination of service levels for pedestrians with European examples. Transportation Research Record No. 1405 Washington D.C (1993)

  • Tanaboriboon, Y., Hwa, S.S., Chor, C.H.: Pedestrian characteristics study in Singapore. J. Transp. Eng. ASCE 112(3), 229–235 (1986)

    Article  Google Scholar 

  • Tracker-Video Analysis and Modeling Tool. https://physlets.org/tracker/ Accessed on 03 June 2016

  • Virkler, M.R., Elayadath, S.: Pedestrian speed–flow–density relationships. Transportation Research Record No. 1438 Washington D.C (1994)

  • Wang, L., Ning, H.Z., Hu, W.M.: Gait recognition based on procrustes statistical shape analysis. In: International Conference on Image Processing, pp. 433–436 (2002)

  • Weidmann, U.: Trasporttechnik der Fussgänger. Institut für Verkehrsplanung, Transporttechnik, Strassen- und Eisenbahnbau, ETH Zürich. Tech. Rep. Schriftenreihe des IVT Nr. 90 (1993)

  • Yi, Z., Liangzhong, F.: Moving object detection based on running average background and temporal difference. In: International Conference on Intelligent Systems and Knowledge, pp. 270–272 (2010)

  • Yugendar, P., Ravishankar, K.V.R.: Crowd behaviour analysis at mass gathering events. J. KONBiN 46(1), 5–20 (2018a)

    Article  Google Scholar 

  • Yugendar, P., Ravishankar, K.V.R.: Multi-regime modelling of large congregation. Institution of Civil Engineers—Transport (2018b)

  • Zhang, T., Liu, Z., Lian, X., Wang, X.: Study on moving-objects detection technique in video surveillance system. In: IEEE Control and Decision Conference, pp. 2375–2380 (2010)

  • Zhong, H., Shi, J., Visontai, M.: Detecting unusual activity in video. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 819–826 (2004)

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Correspondence to Poojari Yugendar.

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Yugendar, P., Ravishankar, K.V.R. The effect of physical factors on crowd walking behavior at religious gatherings. Qual Quant 53, 2969–2982 (2019). https://doi.org/10.1007/s11135-019-00911-8

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