Crowd flow segmentation using a novel region growing scheme

Si Wu, Zhiwen Yu, Hau-San Wong

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

13 Citations (Scopus)

Abstract

Segmenting and analyzing crowd flow from surveillance videos is effective for monitoring abnormal motion or reducing incidents in a crowd scene. In this paper, we use translation flow to approximate local crowd motion and propose a novel region growing scheme to segment crowd flow based on optical flow field. We improve the model of translation domain segmentation and adapt it to a general vector field. To implement flow segmentation, the domain's contour determined by a set of boundary points is adaptively updated by shape optimization in the improved model. The experiments based on a set of crowd videos show that the proposed approach has the capability to segment crowd flow for further analysis. © 2009 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Title of host publicationAdvances in Multimedia Information Processing - PCM 2009
Subtitle of host publication10th Pacific Rim Conference on Multimedia, Proceedings
PublisherSpringer Verlag
Pages898-907
Volume5879 LNCS
ISBN (Print)3642104665, 9783642104664
DOIs
Publication statusPublished - 2009
Event10th Pacific Rim Conference on Multimedia, PCM 2009 - Bangkok, Thailand
Duration: 15 Dec 200918 Dec 2009

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5879 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference10th Pacific Rim Conference on Multimedia, PCM 2009
Country/TerritoryThailand
CityBangkok
Period15/12/0918/12/09

Research Keywords

  • Adaptive Contour
  • Crowd Flow Segmentation
  • Region Growing
  • Shape Optimization
  • Translation flow

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