RAILWAY CROSSING MONITORING BY CAMERA USING OPTICAL FLOW ESTIMATION
Keywords:
Railway crossing monitoring, image processing, optical flow, Matlab, SimulinkAbstract
The content of this article is description of the issue of railway crossing monitoringusing methods of optical flow estimation. The methods were programmed eitherdirectly in Matlab or using Simulink Blocksets.
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References
[1] Šilar Z. Moderní obrazové metody pro sledování a kontrolu železničního přejezdu.
Perner´s Contacts, ISSN 1801-674X, Vol. 4, No. 3, pp 226-240, Pardubice, 2009.
[2] Sankari M., Meena C. Adaptive Background Estimation and object detection applying in
Automated visual surveillance. (IJCSIS) International Journal of Computer Science and
Information Security, Vol. 8, No. 4, July 2010.
[3] Barron J. L., Thacker N. A. Tutorial: Computing 2D and 3D Optical Flow. Last updated
2005-1-20 [cit. 2010-10-19]. Available www: <http://www.tina-vision.net/docs/memos
/2004-012.pdf>.
[4] Barron J. L., Fleet D. J. Performance of Optical Flow Techniques. International Journal of
Computer Vision , Vol. 12, No. 1, pp 43-77, 1994.
[5] Lucas B. D., Kanade T. An Iterative Image Registration Technique with an Application to
Stereo Vision. DARPA Image Understanding Workshop, pp 121–130, 1981.
[6] Horn B. K. P., Schunck B. G. Determining Optical Flow. Artificial Intelligence, No. 17,
pp 185–204, 1981.
[7] Hageman, L., Young, D. Applied Iterative Methods. Academic Press, New York, 1981.
Perner´s Contacts, ISSN 1801-674X, Vol. 4, No. 3, pp 226-240, Pardubice, 2009.
[2] Sankari M., Meena C. Adaptive Background Estimation and object detection applying in
Automated visual surveillance. (IJCSIS) International Journal of Computer Science and
Information Security, Vol. 8, No. 4, July 2010.
[3] Barron J. L., Thacker N. A. Tutorial: Computing 2D and 3D Optical Flow. Last updated
2005-1-20 [cit. 2010-10-19]. Available www: <http://www.tina-vision.net/docs/memos
/2004-012.pdf>.
[4] Barron J. L., Fleet D. J. Performance of Optical Flow Techniques. International Journal of
Computer Vision , Vol. 12, No. 1, pp 43-77, 1994.
[5] Lucas B. D., Kanade T. An Iterative Image Registration Technique with an Application to
Stereo Vision. DARPA Image Understanding Workshop, pp 121–130, 1981.
[6] Horn B. K. P., Schunck B. G. Determining Optical Flow. Artificial Intelligence, No. 17,
pp 185–204, 1981.
[7] Hageman, L., Young, D. Applied Iterative Methods. Academic Press, New York, 1981.
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Published
2010-12-30
How to Cite
Šilar, Z. (2010). RAILWAY CROSSING MONITORING BY CAMERA USING OPTICAL FLOW ESTIMATION. Perner’s Contacts, 5(4), 272–279. Retrieved from https://pernerscontacts.upce.cz/index.php/perner/article/view/1066
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Copyright (c) 2020 Zdeněk Šilar
This work is licensed under a Creative Commons Attribution 4.0 International License.
