Crowdedness estimation in public pedestrian space for pedestrian guidance

Satoshi Toyosawa*, Takashi Kawai

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)


A degree of crowdedness in public pedestrian space is obtained from sequences of greyscale images and still colour images in order to provide a route selection hint to pedestrians. Two measures are employed: amount of motion and colour entropy, and they are used selectively depending on the nature of target space. The pedestrian space is categorised into two: smooth and stagnated. The smooth space urges pedestrians to flow smoothly without pausing, while the stagnated space invites pedestrians to pause for socialising. A degree of stagnation, obtained from accumulated differentiated images, is used to distinguish these two types of space. The amount of motion and the colour entropy are compared against human's sense of crowdedness for evaluation. The experiments have shown that the amount of motion represents the smooth space's crowdedness well, while the colour entropy is suitable for evaluating the stagnated space. It has also shown tendency of significance between the degree of stagnation and the types of space.

Original languageEnglish
Title of host publicationITSC`05
Subtitle of host publication2005 IEEE Intelligent Conference on Transportation Systems, Proceedings
Number of pages6
Publication statusPublished - 2005 Dec 1
Event8th International IEEE Conference on Intelligent Transportation Systems - Vienna, Austria
Duration: 2005 Sep 132005 Sep 16

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC


Conference8th International IEEE Conference on Intelligent Transportation Systems

ASJC Scopus subject areas

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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