• DocumentCode
    2485880
  • Title

    Realtime Vision Based Multi-Target-Tracking with Particle Filters in Automotive Applications

  • Author

    Idler, Corvin ; Schweiger, Roland ; Paulus, Dietrich ; Mahlisch, M. ; Ritter, Werner

  • Author_Institution
    Inst. for Computational Visualistics, Univ. Koblenz-Landau, Koblenz
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    188
  • Lastpage
    193
  • Abstract
    In the following we present a multi-instance-based multi-target-tracking method using particle filters. We developed a robust and flexible system capable of tracking an unknown and changing number of objects (vehicles) using early-vision image features. The system works in real time
  • Keywords
    computer vision; particle filtering (numerical methods); real-time systems; target tracking; traffic engineering computing; automotive applications; early-vision image features; flexible system; multitarget-tracking; particle filters; realtime vision; robust system; vehicle tracking; Automotive applications; Image edge detection; Infrared detectors; Infrared imaging; Particle filters; Radar imaging; Radar tracking; Robustness; Target tracking; Vehicle detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Vehicles Symposium, 2006 IEEE
  • Conference_Location
    Tokyo
  • Print_ISBN
    4-901122-86-X
  • Type

    conf

  • DOI
    10.1109/IVS.2006.1689626
  • Filename
    1689626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2485880