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Application of automated video analysis for behavioural studies: concept and experience

Laureshyn, Aliaksei LU ; Ardö, Håkan LU ; Svensson, Åse LU and Jonsson, Thomas LU (2009) 10th International conference on Applications of Advanced Technologies in Transportation In IET Intelligent Transport Systems 3(3). p.345-357
Abstract
Lund University, Sweden, is developing a video analysis system for making long-term behavioural studies, primarily in complex urban environments. Road users are detected using the KLT (Kanade-Lucas-Tomasi) interest point tracker. Trajectories are estimated using foreground–background segmentation, whereas speed is estimated using the shape analysis of interest points. The extracted trajectories are further used for behavioural analysis. The authors present the experience from an ongoing study in Stockholm city, where the task was to find out if allowing two-way bicycle traffic on one-way streets had negative effects on safety. The video analysis system was applied to detect biking in the ‘wrong’ direction and analyse traffic conflicts... (More)
Lund University, Sweden, is developing a video analysis system for making long-term behavioural studies, primarily in complex urban environments. Road users are detected using the KLT (Kanade-Lucas-Tomasi) interest point tracker. Trajectories are estimated using foreground–background segmentation, whereas speed is estimated using the shape analysis of interest points. The extracted trajectories are further used for behavioural analysis. The authors present the experience from an ongoing study in Stockholm city, where the task was to find out if allowing two-way bicycle traffic on one-way streets had negative effects on safety. The video analysis system was applied to detect biking in the ‘wrong’ direction and analyse traffic conflicts between cyclists and other road users. The manual observations done in parallel allowed validating the accuracy of system performance. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
IET Intelligent Transport Systems
volume
3
issue
3
pages
345 - 357
publisher
Institution of Engineering and Technology
conference name
10th International conference on Applications of Advanced Technologies in Transportation
external identifiers
  • Scopus:70349085713
  • WOS:000269627800011
ISSN
1751-9578
DOI
10.1049/iet-its.2008.0077
language
English
LU publication?
yes
id
2e9e0e6e-b404-4078-ae97-29ac0aa4ff70 (old id 1510391)
date added to LUP
2009-11-24 16:16:08
date last changed
2017-01-01 08:11:17
@article{2e9e0e6e-b404-4078-ae97-29ac0aa4ff70,
  abstract     = {Lund University, Sweden, is developing a video analysis system for making long-term behavioural studies, primarily in complex urban environments. Road users are detected using the KLT (Kanade-Lucas-Tomasi) interest point tracker. Trajectories are estimated using foreground–background segmentation, whereas speed is estimated using the shape analysis of interest points. The extracted trajectories are further used for behavioural analysis. The authors present the experience from an ongoing study in Stockholm city, where the task was to find out if allowing two-way bicycle traffic on one-way streets had negative effects on safety. The video analysis system was applied to detect biking in the ‘wrong’ direction and analyse traffic conflicts between cyclists and other road users. The manual observations done in parallel allowed validating the accuracy of system performance.},
  author       = {Laureshyn, Aliaksei and Ardö, Håkan and Svensson, Åse and Jonsson, Thomas},
  issn         = {1751-9578},
  language     = {eng},
  number       = {3},
  pages        = {345--357},
  publisher    = {Institution of Engineering and Technology},
  series       = {IET Intelligent Transport Systems},
  title        = {Application of automated video analysis for behavioural studies: concept and experience},
  url          = {http://dx.doi.org/10.1049/iet-its.2008.0077},
  volume       = {3},
  year         = {2009},
}