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Image projection clues for improved real-time vehicle tracking in tunnels

Vedran Jelača UGent, Jorge Niño Castañeda UGent, Aleksandra Pizurica UGent and Wilfried Philips UGent (2012) PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. 8301.
abstract
Vehicle tracking is of great importance for tunnel safety. To detect incidents or disturbances in traffic flow it is necessary to reliably track vehicles in real-time. The tracking is a challenging task due to poor lighting conditions in tunnels and frequent light reflections from tunnel walls, the road and the vehicles themselves. In this paper we propose a multi-clue tracking approach combining foreground blobs, optical flow of Shi-Tomasi features and image projection profiles in a Kalman filter with a constant velocity model. The main novelty of our approach lies in using vertical and horizontal image projection profiles (so-called vehicle signatures) as additional measurements to overcome the problems of inconsistent foreground and optical flow clues in cases of severe lighting changes. These signatures consist of Radon-transform like projections along each image column and row. We compare the signatures from two successive video frames to find their alignment and to correct predicted vehicle position and size. We tested our approach on several tunnel sequences. The results show an improvement in the accuracy of the tracker and less target losses when image projection clues are used. Furthermore, calculation and comparison of image projections is computationally efficient so the tracker keeps real-time performance (25 fps, on a single 1.86 GHz processor).
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
feature extraction, FEATURES, traffic monitoring, Real-time tracking of vehicles, tunnel surveillance
in
PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING
Proc. SPIE Int. Soc. Opt. Eng.
editor
J Roning and DP Casasent
volume
8301
issue title
Intelligent robots and computer vision XXIX : algorirhms and techniques
article_number
83010C
pages
7 pages
publisher
SPIE
place of publication
Bellingham, WA, USA
conference name
Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques
conference location
Burlingame, CA, USA
conference start
2012-01-23
conference end
2012-01-24
Web of Science type
Proceedings Paper
Web of Science id
000300178300011
ISSN
0277-786X
ISBN
9780819489487
DOI
10.1117/12.908873
language
English
UGent publication?
yes
classification
P1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2027415
handle
http://hdl.handle.net/1854/LU-2027415
date created
2012-02-10 19:15:15
date last changed
2013-10-22 11:05:34
@inproceedings{2027415,
  abstract     = {Vehicle tracking is of great importance for tunnel safety. To detect incidents or disturbances in traffic flow it is necessary to reliably track vehicles in real-time. The tracking is a challenging task due to poor lighting conditions in tunnels and frequent light reflections from tunnel walls, the road and the vehicles themselves. In this paper we propose a multi-clue tracking approach combining foreground blobs, optical flow of Shi-Tomasi features and image projection profiles in a Kalman filter with a constant velocity model. The main novelty of our approach lies in using vertical and horizontal image projection profiles (so-called vehicle signatures) as additional measurements to overcome the problems of inconsistent foreground and optical flow clues in cases of severe lighting changes. These signatures consist of Radon-transform like projections along each image column and row. We compare the signatures from two successive video frames to find their alignment and to correct predicted vehicle position and size. We tested our approach on several tunnel sequences. The results show an improvement in the accuracy of the tracker and less target losses when image projection clues are used. Furthermore, calculation and comparison of image projections is computationally efficient so the tracker keeps real-time performance (25 fps, on a single 1.86 GHz processor).},
  articleno    = {83010C},
  author       = {Jela\v{c}a, Vedran and Ni{\~n}o Casta{\~n}eda, Jorge and Pizurica, Aleksandra and Philips, Wilfried},
  booktitle    = {PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING},
  editor       = {Roning, J and Casasent, DP},
  isbn         = {9780819489487},
  issn         = {0277-786X},
  keyword      = {feature extraction,FEATURES,traffic monitoring,Real-time tracking of vehicles,tunnel surveillance},
  language     = {eng},
  location     = {Burlingame, CA, USA},
  pages        = {7},
  publisher    = {SPIE},
  title        = {Image projection clues for improved real-time vehicle tracking in tunnels},
  url          = {http://dx.doi.org/10.1117/12.908873},
  volume       = {8301},
  year         = {2012},
}

Chicago
Jelaca, Vedran, Jorge Niño Castañeda, Aleksandra Pizurica, and Wilfried Philips. 2012. “Image Projection Clues for Improved Real-time Vehicle Tracking in Tunnels.” In Proceedings of Spie, the International Society for Optical Engineering, ed. J Roning and DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE.
APA
Jelaca, V., Niño Castañeda, J., Pizurica, A., & Philips, W. (2012). Image projection clues for improved real-time vehicle tracking in tunnels. In J. Roning & D. Casasent (Eds.), PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING (Vol. 8301). Presented at the Conference on Intelligent Robots and Computer Vision XXIX - Algorithms and Techniques, Bellingham, WA, USA: SPIE.
Vancouver
1.
Jelaca V, Niño Castañeda J, Pizurica A, Philips W. Image projection clues for improved real-time vehicle tracking in tunnels. In: Roning J, Casasent D, editors. PROCEEDINGS OF SPIE, THE INTERNATIONAL SOCIETY FOR OPTICAL ENGINEERING. Bellingham, WA, USA: SPIE; 2012.
MLA
Jelaca, Vedran, Jorge Niño Castañeda, Aleksandra Pizurica, et al. “Image Projection Clues for Improved Real-time Vehicle Tracking in Tunnels.” Proceedings of Spie, the International Society for Optical Engineering. Ed. J Roning & DP Casasent. Vol. 8301. Bellingham, WA, USA: SPIE, 2012. Print.