• Patent Title: Crowd type classification system, crowd type classification method and storage medium for storing crowd type classification program
  • Application No.: US16082763
    Application Date: 2017-02-28
  • Publication No.: US10789484B2
    Publication Date: 2020-09-29
  • Inventor: Hiroo Ikeda
  • Applicant: NEC CORPORATION
  • Applicant Address: JP Minato-ku, Tokyo
  • Assignee: NEC CORPORATION
  • Current Assignee: NEC CORPORATION
  • Current Assignee Address: JP Minato-ku, Tokyo
  • Agency: Sughrue Mion, PLLC
  • Priority: com.zzzhc.datahub.patent.etl.us.BibliographicData$PriorityClaim@5f74c2a
  • International Application: PCT/JP2017/007643 WO 20170228
  • International Announcement: WO2017/154655 WO 20170914
  • Main IPC: G06K9/00
  • IPC: G06K9/00 G06T7/70 G06T7/60 G06T7/246 G06K9/62
Crowd type classification system, crowd type classification method and storage medium for storing crowd type classification program
Abstract:
A crowd type classification system of an aspect of the present invention includes: a staying crowd detection unit that detects a local region indicating a crowd in staying from a plurality of local regions determined in an image acquired by an image acquisition device; a crowd direction estimation unit that estimates a direction of the crowd for an image of a part corresponding to the detected local region, and appends the direction of the crowd to the local region; and a crowd type classification unit that classifies a type of the crowd including a plurality of staying persons for the local region to which the direction is appended by using a relative vector indicating a relative positional relationship between two local regions and directions of crowds in the two local regions, and outputs the type and positions of the crowds.
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