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Crowd Collectiveness Measure via Path Integral Descriptor

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Pattern Recognition (CCPR 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 662))

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Abstract

Crowd collectiveness measuring has attracted a great deal of attentions in recently years. We adopt the path integral descriptor idea to measure the collectiveness of a crowd system. A new path integral descriptor is proposed by exponent generating function to avoid parameter setting. Several good properties of the proposed path integral descriptor are demonstrated in this paper. The proposed path integral descriptor of a set is regard as the collectiveness measure of a set, which can be a moving system such as human crowd, sheep herd and so on. Self-driven particle (SDP) model and the crowd motion database are used to test the ability of the proposed method in measuring collectiveness.

This work is subsidized by National Natural Science Foundation of China under Grant 71673293.

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Author information

Authors and Affiliations

  1. Department of Management Science and Engineering, Officers College of Chinese Armed Police Force, Chengdu, 610213, Sichuan, China

    Wei-Ya Ren & Yun-Xiang Ling

  2. College of Information System and Management, National University of Defense Technology, Changsha, 410073, Hunan, China

    Guo-Hui Li & Yun-Xiang Ling

Authors
  1. Wei-Ya Ren
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  2. Guo-Hui Li
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  3. Yun-Xiang Ling
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Corresponding author

Correspondence to Wei-Ya Ren .

Editor information

Editors and Affiliations

  1. Institute of Automation, Chinese Academy of Sciences, Beijing, China

    Tieniu Tan

  2. Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an, China

    Xuelong Li

  3. Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China

    Xilin Chen

  4. Tsinghua University , Beijing, China

    Jie Zhou

  5. Nanjing University of Science and Technology, Nanjing, China

    Jian Yang

  6. University of Electronic Science and Technology, Chengdu, Sichuan, China

    Hong Cheng

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© 2016 Springer Nature Singapore Pte Ltd.

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Ren, WY., Li, GH., Ling, YX. (2016). Crowd Collectiveness Measure via Path Integral Descriptor. In: Tan, T., Li, X., Chen, X., Zhou, J., Yang, J., Cheng, H. (eds) Pattern Recognition. CCPR 2016. Communications in Computer and Information Science, vol 662. Springer, Singapore. https://doi.org/10.1007/978-981-10-3002-4_18

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  • DOI: https://doi.org/10.1007/978-981-10-3002-4_18

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3001-7

  • Online ISBN: 978-981-10-3002-4

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