Tracking and Reconstruction of Vehicles for Accurate Position Estimation
Författare
Summary, in English
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.
Avdelning/ar
- Matematik LTH
- Mathematical Imaging Group
- ELLIIT: the Linköping-Lund initiative on IT and mobile communication
Publiceringsår
2011
Språk
Engelska
Sidor
110-117
Publikation/Tidskrift/Serie
Applications in Computer Vision (WACV), 2011 Workshop on
Fulltext
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)