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Crowd Monitoring and Classification: A Survey

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Advances in Computer and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 553))

Abstract

Crowd monitoring on public places is very demanding endeavor to accomplish. Huge population and assortment of human actions enforces the crowded scenes to be more continual. Enormous challenges occur into crowd management including proper crowd analysis, identification, monitoring and anomalous activity detection. Due to severe clutter and occlusions, conventional methods for dealing with crowd are not very effective. This paper highlights the various issues involved in analyzing crowd behavior and its dynamics along with classification of crowd analysis techniques. This review summarizes the shortcomings, strength and applicability of existing methods in different environmental scenarios. Furthermore, it overlays the path to device a proficient method of crowd monitoring and classification which can deal with most of the challenges related to this area.

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Author information

Authors and Affiliations

  1. Department of Computer Science & Engineering, MNIT, Jaipur, India

    Sonu Lamba & Neeta Nain

Authors
  1. Sonu Lamba
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  2. Neeta Nain
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Corresponding author

Correspondence to Sonu Lamba .

Editor information

Editors and Affiliations

  1. Department of Computer Science, University of Missouri, Columbia, Missouri, USA

    Sanjiv K. Bhatia

  2. Department of Computer Science and Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  3. Department of Computer Science and Engineering, ABES Engineering College, Ghaziabad, Uttar Pradesh, India

    Shailesh Tiwari

  4. Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Vivek Kumar Singh

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© 2017 Springer Nature Singapore Pte Ltd.

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Lamba, S., Nain, N. (2017). Crowd Monitoring and Classification: A Survey. In: Bhatia, S., Mishra, K., Tiwari, S., Singh, V. (eds) Advances in Computer and Computational Sciences. Advances in Intelligent Systems and Computing, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-10-3770-2_3

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  • DOI: https://doi.org/10.1007/978-981-10-3770-2_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3769-6

  • Online ISBN: 978-981-10-3770-2

  • eBook Packages: EngineeringEngineering (R0)

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