• DocumentCode
    2235093
  • Title

    Video-based vehicle and pedestrian tracking and motion modelling

  • Author

    Blythe, PT

  • Author_Institution
    Newcastle upon Tyne Univ., UK
  • fYear
    2002
  • fDate
    2002
  • Firstpage
    35
  • Lastpage
    40
  • Abstract
    ANDROID (Automated Numeration of Data Realised by Optimised Image Detection) is a collaborative, LINK-funded project between the University of Newcastle upon Tyne, Ross Silcock Partnership. (RSL) and the Defence, Evaluation and Research Agency (DERA). ANDROID is co-ordinated by RSL. The motivating idea for the project was to build upon research started under the DETR-funded Pedestrian Behaviour and Exposure to Risk (PEDEX) project (R.A.Allsopp, 1997, C.R.Williams and M.G.H.Bell, 1997) where image processing of traffic videos was used to assess the exposure of pedestrians to risk. This project illustrated the shortcomings of existing systems to monitor, classify and count vehicles and pedestrians automatically. These shortcomings were addressed and, to some extent resolved, in the ANDROID project which specifically developed techniques to characterise objects and the application software to discriminate, track and count pedestrians and vehicles automatically from video footage. In parallel with the technical research development work ANDROID also developed a validation scheme for the system and performed significant market analysis to determine what exploitation path the partnership should pursue
  • Keywords
    feature extraction; image segmentation; motion estimation; video signal processing; ANDROID; feature matching; motion modelling; motion segmentation; pedestrian tracking; vehicle tracking; video footage;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Road Transport Information and Control, 2002. Eleventh International Conference on (Conf. Publ. No. 486)
  • Conference_Location
    London
  • ISSN
    0537-9989
  • Print_ISBN
    0-85296-746-2
  • Type

    conf

  • DOI
    10.1049/cp:20020201
  • Filename
    1031619