US Patent Application 18344542. CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM simplified abstract

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CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM

Organization Name

NEC Corporation

Inventor(s)

Hiroo Ikeda of Tokyo (JP)

CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM - A simplified explanation of the abstract

This abstract first appeared for US patent application 18344542 titled 'CROWD TYPE CLASSIFICATION SYSTEM, CROWD TYPE CLASSIFICATION METHOD AND STORAGE MEDIUM FOR STORING CROWD TYPE CLASSIFICATION PROGRAM

Simplified Explanation

The present invention is a crowd type classification system that can detect and classify different types of crowds in an image.

  • The system includes a staying crowd detection unit that identifies local regions in the image where crowds are staying.
  • A crowd direction estimation unit estimates the direction of the crowd in each local region and appends this information to the region.
  • The system also includes a crowd type classification unit that uses relative vectors and crowd directions to classify the type of crowd in each local region.
  • The output of the system includes the type and positions of the crowds detected in the image.


Original Abstract Submitted

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.