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Tracking and Reconstruction of Vehicles for Accurate Position Estimation

Källén, Hanna LU ; Ardö, Håkan LU and Enqvist, Olof LU (2011) 2011 IEEE Workshop on Applications in Computer Vision (WACV 2011) In Applications in Computer Vision (WACV), 2011 Workshop on p.110-117
Abstract
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
tracking, automated traffic surveillance, 3D reconstruction
in
Applications in Computer Vision (WACV), 2011 Workshop on
pages
8 pages
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
2011 IEEE Workshop on Applications in Computer Vision (WACV 2011)
external identifiers
  • Scopus:79952512483
ISBN
978-1-4244-9496-5 (print)
1-4244-9496-6 (print)
DOI
10.1109/WACV.2011.5711491
language
English
LU publication?
yes
id
9c73fc8c-927e-45a0-a110-01c2b4edfe1a (old id 1834981)
date added to LUP
2011-12-28 15:08:06
date last changed
2017-01-01 08:03:08
@inproceedings{9c73fc8c-927e-45a0-a110-01c2b4edfe1a,
  abstract     = {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.<br/><br>
<br/><br>
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.},
  author       = {Källén, Hanna and Ardö, Håkan and Enqvist, Olof},
  booktitle    = {Applications in Computer Vision (WACV), 2011 Workshop on},
  isbn         = {978-1-4244-9496-5 (print)},
  keyword      = {tracking,automated traffic surveillance,3D reconstruction},
  language     = {eng},
  pages        = {110--117},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Tracking and Reconstruction of Vehicles for Accurate Position Estimation},
  url          = {http://dx.doi.org/10.1109/WACV.2011.5711491},
  year         = {2011},
}