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Highly Accurate Estimation of Pedestrian Speed Profiles from Video Sequences

  • Panagiotis Sourtzinos
  • Dimitrios Makris
  • Paolo Remagnino
Part of the Studies in Computational Intelligence book series (SCI, volume 336)

Abstract

This paper presents a system that estimates accurately the speed of individual pedestrians with constant walking speed from monocular image sequences with people captured from aside view/camera. Such accurate estimations are needed to tune speed models for pedestrian simulation software. The system uses a combination of image segmentation and motion tracking to localize foot locations of pedestrians and convert them to ground plane speeds using camera calibration model.

Keywords

Video Sequence Speed Estimation Motion Segmentation Pedestrian Behavior Prefer Walking Speed 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Panagiotis Sourtzinos
    • 1
  • Dimitrios Makris
    • 1
  • Paolo Remagnino
    • 1
  1. 1.Digital Imaging Research CentreKingston UniversityUK

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