AUTOMATED MEASUREMENT OF CROWD DENSITY AND MOTION USING IMAGE PROCESSING

Earlier methods of measuring pedestrian movement by manual or automated means are reviewed and new techniques described which are independent of the shape, size and velocity of individual pedestrians. Two pixel-based methods for estimating crowd density are described: a) thinned edges and b) background removal. The use of head movements as a measure of pedestrian flow is described. Methods of estimating motion are considered. A method is described based on grey-level correlation of small neighbourhoods in two consecutive frames. When the data is aggregated, good correlation with actual pedestrian movements is found in the results from the background removal and frame difference methods. For the covering abstract see IRRD 865401.

• Corporate Authors:

  Institution of Electrical Engineers

  Savoy Place
  London WC2R 0BL, NY  England  10016-5997
• Authors:
  • VELASTIN, S A
  • YIN, J H
  • DAVIES, A C
  • VICENCIO-SILVA, M A
  • ALLSOP, R E
  • PENN, A
• Conference:
  • SEVENTH INTERNATIONAL CONFERENCE ON ROAD TRAFFIC MONITORING AND CONTROL, 26-28 APRIL 1994. PROCEEDINGS. (IEE CONFERENCE PUBLICATION 391)
• Publication Date: 1994

Language

• English

Media Info

• Features: References;
• Pagination: p. 127-32

Subject/Index Terms

• TRT Terms: Automatic control; Automation; Conferences; Data collection; Density; Information processing; Motion; Pedestrians; Telecommunications
• ITRD Terms: 3882: Automatic; 8525: Conference; 8623: Data acquisition; 8655: Data processing; 5908: Density; 5483: Movement; 1733: Pedestrian; 9117: Telecommunication
• Subject Areas: Data and Information Technology; Pedestrians and Bicyclists; Society;

Filing Info

• Accession Number: 00668591
• Record Type: Publication
• Source Agency: Transport Research Laboratory
• Files: ITRD, ATRI
• Created Date: Nov 16 1994 12:00AM