An effective video processing pipeline for crowd pattern analysis

Yu Hao, Zhijie Xu, Jing Wang, Ying Liu, Jiulun Fan

Research output: Chapter in Book or Report/Conference proceedingConference Proceedingpeer-review

4 Citations (Scopus)

Abstract

With the purpose of automatic detection of crowd patterns including abrupt and abnormal changes, a novel approach for extracting motion 'textures' from dynamic Spatio-Temporal Volume (STV) blocks formulated by live video streams has been proposed. This paper starts from introducing the common approach for STV construction and corresponding Spatio-Temporal Texture (STT) extraction techniques. Next the crowd motion information contained within the random STT slices are evaluated based on the information entropy theory to cull the static background and noises occupying most of the STV spaces. A preprocessing step using Gabor filtering for improving the STT sampling efficiency and motion fidelity has been devised and tested. The technique has been applied on benchmarking video databases for proof-of-concept and performance evaluation. Preliminary results have shown encouraging outcomes and promising potentials for its real-world crowd monitoring and control applications.

Original languageEnglish
Title of host publicationICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing
Subtitle of host publicationAddressing Global Challenges through Automation and Computing
EditorsJie Zhang
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9780701702618
DOIs
Publication statusPublished - 23 Oct 2017
Externally publishedYes
Event23rd IEEE International Conference on Automation and Computing, ICAC 2017 - Huddersfield, United Kingdom
Duration: 7 Sept 20178 Sept 2017

Publication series

NameICAC 2017 - 2017 23rd IEEE International Conference on Automation and Computing: Addressing Global Challenges through Automation and Computing

Conference

Conference23rd IEEE International Conference on Automation and Computing, ICAC 2017
Country/TerritoryUnited Kingdom
CityHuddersfield
Period7/09/178/09/17

Keywords

  • Crowd pattern analysis
  • Gabor filtering
  • Information entropy
  • Spatio-Temporal Texture
  • Spatio-Temporal Volume

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