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Statistics of the Number of People Based on the Surveillance Video

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Parallel Architecture, Algorithm and Programming (PAAP 2017)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 729))

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Abstract

With the rapid development of economy, large-scale entertainment, sporting events, religious ceremonies and other major activities, there are often a large crowd gathered. In order to avoid accidents occurred, counting the number of development becomes more and more important. And in the daily activities of life relatively slim, for example: the school attendance rate statistics, the convenience given by the statistics of pedestrians should not be underestimated. The number of statistical methods is drawing more and more people’s attention.

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References

  1. Bi, D., Yang, Y., Yu, F., Ju, M.: The video target tracking method. National Defense University Press

    Google Scholar 

  2. Zhang, J.: OpenCV 2 Computer Vision Programming Manual

    Google Scholar 

  3. Li, J., Wang, J.: Image detection and target tracking technology. Beijing Institute of Technology Press

    Google Scholar 

  4. Ding, Y., Yang, H., Fan, J., Jiang, Z., Li, Y.: The detection technology and application of the complex environment moving target. Press

    Google Scholar 

  5. Ai, H., Xing, J.L.: Computer vision algorithm and application. Tsinghua University Press

    Google Scholar 

  6. Yu, S., Liu, R.: Study OpenCV. Tsinghua University Press

    Google Scholar 

  7. Gu, D., Wu, T.: Video image processing based on the number of automatic statistics, pp. 49–51 (2010)

    Google Scholar 

  8. Li, P., Lv, X.: Research and implementation of statistical methods in video surveillance, p. 2 (2013)

    Google Scholar 

  9. Zhang, Y., Chen, L.: Research on key technologies of real-time statistics based on video, p. 52 (2014)

    Google Scholar 

  10. Xue, C., Guo, J.: Statistical system for the number of complex scenes, pp. 6–15 (2014)

    Google Scholar 

  11. Huang, J., Jiang, M.: Population density estimation and population statistics in video surveillance, p. 1 (2013)

    Google Scholar 

  12. Li, P., Lu, J., Xinqiao: Research and implementation of the number of statistical methods in video surveillance, pp. 3–5 (2014)

    Google Scholar 

  13. Zhu, X., Mingwu: Under the condition of complex head detection and counting technology research and implementation of (2009)

    Google Scholar 

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Acknowledgment

This work is partially supported by Educational Commission of Hainan Province of China (No. HNKY2014-03).

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Correspondence to Zhao Qiu .

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© 2017 Springer Nature Singapore Pte Ltd

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Qiu, Z., Lei, S., Hu, J., Luo, J. (2017). Statistics of the Number of People Based on the Surveillance Video. In: Chen, G., Shen, H., Chen, M. (eds) Parallel Architecture, Algorithm and Programming. PAAP 2017. Communications in Computer and Information Science, vol 729. Springer, Singapore. https://doi.org/10.1007/978-981-10-6442-5_44

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  • DOI: https://doi.org/10.1007/978-981-10-6442-5_44

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6441-8

  • Online ISBN: 978-981-10-6442-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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