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Tracking and Reconstruction of Vehicles for Accurate Position Estimation

Författare

Summary, in English

To improve traffic safety it is important to evaluate the safety of roads and intersections. Today this requires a large amount of manual labor so an automated system using cameras would be very beneficial. We focus on the geometric part of the problem, that is, how to get accurate three-dimensional data from images of a road or an intersection. This is essential in order to correctly identify different events and incidents, for example to estimate when two cars gets dangerously close to each other.



The proposed method uses a standard tracker to find corresponding points between frames. Then a RANSAC-type algorithm detects points that are likely to belong to the same vehicle. To fully exploit the fact that vehicles rotate and translate only in the ground plane, the structure from motion is estimated using an optimization approach based on the L-infinity-norm. The same approach also allows for easy setup of the system by estimating the camera orientation relative to the ground plane. Promising results for real-world data are presented.

Publiceringsår

2011

Språk

Engelska

Sidor

110-117

Publikation/Tidskrift/Serie

Applications in Computer Vision (WACV), 2011 Workshop on

Dokumenttyp

Konferensbidrag

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Computer Vision and Robotics (Autonomous Systems)
  • Mathematics

Nyckelord

  • tracking
  • automated traffic surveillance
  • 3D reconstruction

Conference name

2011 IEEE Workshop on Applications in Computer Vision (WACV 2011)

Conference date

2011-01-05 - 2011-01-07

Conference place

Hawaii, United States

Status

Published

Forskningsgrupp

  • Mathematical Imaging Group

ISBN/ISSN/Övrigt

  • ISBN: 978-1-4244-9496-5 (print)
  • ISBN: 1-4244-9496-6 (print)