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A LiDAR Point Cloud Dataset for Crowd Segmentation and Counting

  • Chaima Zaghouani
  • , Abdullah Khanfor
  • , Hakim Ghazzai
  • , Ahmad Alsharoa
  • , Gianluca Setti
  • University of Michigan, Flint
  • Najran University
  • King Abdullah University of Science and Technology
  • Polytechnic University of Turin

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original languageEnglish
Title of host publicationISCAS 2026 - 2026 IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages3496-3500
Number of pages5
ISBN (Electronic)9798331577698
DOIs
StatePublished - 2026
Event2026 IEEE International Symposium on Circuits and Systems, ISCAS 2026 - Shanghai, China
Duration: May 24 2026 → May 27 2026

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
ISSN (Print)0271-4310

Conference

Conference2026 IEEE International Symposium on Circuits and Systems, ISCAS 2026
Country/TerritoryChina
CityShanghai
Period5/24/26 → 5/27/26

ASJC Scopus Subject Areas

  • Electrical and Electronic Engineering

Keywords

  • counting
  • Crowd management
  • LiDAR point cloud
  • segmentation

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