Tracking and Reconstruction of Vehicles for Accurate Position Estimation
(2011) 2011 IEEE Workshop on Applications in Computer Vision (WACV 2011) 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:
https://lup.lub.lu.se/record/1834981
- author
- Källén, Hanna LU ; Ardö, Håkan LU and Enqvist, Olof LU
- organization
- publishing date
- 2011
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- tracking, automated traffic surveillance, 3D reconstruction
- host publication
- 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)
- conference location
- Hawaii, United States
- conference dates
- 2011-01-05 - 2011-01-07
- 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
- 2016-04-04 11:24:46
- date last changed
- 2022-05-17 04:46:50
@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)}}, keywords = {{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 = {{https://lup.lub.lu.se/search/files/5767792/1834989.pdf}}, doi = {{10.1109/WACV.2011.5711491}}, year = {{2011}}, }