CFP last date
20 December 2024
Reseach Article

Tracking Line Segment without Knowledge of Camera Motion

by S. Ait Kaci Azzou, M. C Baba Hnini
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 73 - Number 6
Year of Publication: 2013
Authors: S. Ait Kaci Azzou, M. C Baba Hnini
10.5120/12742-9650

S. Ait Kaci Azzou, M. C Baba Hnini . Tracking Line Segment without Knowledge of Camera Motion. International Journal of Computer Applications. 73, 6 ( July 2013), 1-8. DOI=10.5120/12742-9650

@article{ 10.5120/12742-9650,
author = { S. Ait Kaci Azzou, M. C Baba Hnini },
title = { Tracking Line Segment without Knowledge of Camera Motion },
journal = { International Journal of Computer Applications },
issue_date = { July 2013 },
volume = { 73 },
number = { 6 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 1-8 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume73/number6/12742-9650/ },
doi = { 10.5120/12742-9650 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:39:19.910590+05:30
%A S. Ait Kaci Azzou
%A M. C Baba Hnini
%T Tracking Line Segment without Knowledge of Camera Motion
%J International Journal of Computer Applications
%@ 0975-8887
%V 73
%N 6
%P 1-8
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, a new method for line segments matching for indoor reconstruction will be presented. The problem of line segment tracker is addressed, which does not require any knowledge about the motion of the camera nor the structure of the observed scene. The slopes of lines segment as feature to track are used in order to deal with the instability of the endpoint extraction. The proposed method relies solely on the geometry layout of the slope of the segment and not on photometric or color profiles and does not need any knowledge about the parameters of the camera or its rotation. The obtained results showed the feasibility of the method.

References
  1. B. D. Lucas and T. Kanade. An iterative image registration technique with an application to stereo vision. In IJCAI'81, pages 674–679, 1981
  2. J. Shi and C. Tomasi. Good features to track. In CVPR'94, pages 593–600, Seattle, Washington, June 1994.
  3. M. -O. Berger. How to track efficiently piecewise curved contours with a view to reconstructing 3D objects. In ICPR'94, pages 32–36, Jerusalem, October 1994.
  4. A. Blake and M. Isard. Active Contours. Springer Verlag, April 1998.
  5. S. Boukir, P. Bouthemy, F. Chaumette, and D. Juvin. A local method for contour matching and its parallel implementation. MVA'98, 10(5/6):321–330, April,1998.
  6. G. Hager and K. Toyama. The XVision system: A general-purpose substrate for portable real-time vision applications. CVIU'98, 69(1):23–37, January 1998.
  7. M. Vincze. Robust tracking of ellipses at frame rate. Pattern Recognition, 34(2):487 – 498, February 2001
  8. P. David and D. DeMenthon. Object recognition in high clutter images using line features. In Tenth IEEE International Conference on Computer Vision, 2005. ,volume 2, pages 1581–1588, 2005.
  9. T. Lemaire and S. Lacroix. Monocular-vision based SLAM using line segments. In IEEE International Conference on Robotics and Automation, Roma (Italy), April 2007.
  10. P. Smith, I. Reid, and A. Davison. Real-time monocular SLAM with straight lines. In British Machine Vision Conference, Edinburgh (UK), Sep. 2006.
  11. [Canny, J. , A computational approach to edge detection, IEEE Trans. Pat¬tern Anal. Mach. Intell. vol. 8(6), pp. 679-714, 1986.
  12. V. Nguyen, S. G¨achter, A. Martinelli, N. Tomatis, and R. Siegwart. A comparison of line extraction algorithms using 2d range data for indoor mobile robotics. Auton. Robots, 23(2):97–111, 2007.
  13. L. Chen and al. A simple tracking approach for line extraction. In Proceedings of the International Conference on Wavelet Analysis and Pattern Recognition, 2007.
  14. J-M Morel R. Grompone von Gioi, J. Jakubowicz and G. Randall. Lsd : A fast line segment detector with a false detection control. IEEE Transaction on Pattern Analysis and Machine Intelligence, Dec. 2008.
  15. R. Deriche and O. D. Faugeras. Tracking line segments. In O. D. Faugeras, editor, ECCV, volume 427 of Lecture Notes in Computer Science, pages 259–268. Springer, 1990.
  16. C. Schmid and A. Zisserman. Automatic line matching across views. In IEEE Conference on Computer Vision and Pattern Recognition, pages 666–671, 1997.
  17. H. Bay, V. Ferrari, and L. Van Gool. Wide-baseline stereo matching with line segments. In CVPR '05: Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1, pages 329–336, Washington, DC, USA, 2005. IEEE Computer Society
  18. Faugeras, O. , Luong, Q. T. , Papadopoulo, T. , The Geometry of Multiple Images. MIT Press, Cumberland (2000)
  19. Shapiro, L. & Stockman, G. , Computer Vision, Prentice-Hall, Inc. 2001
  20. Shapiro, L. & Stockman, G. , Computer Vision, Prentice-Hall, Inc. 2001
  21. Canny, J. , A computational approach to edge detection, IEEE Trans. Pat¬tern Anal. Mach. Intell. vol. 8(6), pp. 679-714, 1986.
  22. Ding, W. and Marchionini, G. 1997 A Study on Video Browsing Strategies. Technical Report. University of Maryland at College Park.
  23. Fröhlich, B. and Plate, J. 2000. The cubic mouse: a new device for three-dimensional input. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
  24. Tavel, P. 2007 Modeling and Simulation Design. AK Peters Ltd.
  25. Sannella, M. J. 1994 Constraint Satisfaction and Debugging for Interactive User Interfaces. Doctoral Thesis. UMI Order Number: UMI Order No. GAX95-09398. , University of Washington.
  26. Forman, G. 2003. An extensive empirical study of feature selection metrics for text classification. J. Mach. Learn. Res. 3 (Mar. 2003), 1289-1305.
  27. Brown, L. D. , Hua, H. , and Gao, C. 2003. A widget framework for augmented interaction in SCAPE.
  28. Y. T. Yu, M. F. Lau, "A comparison of MC/DC, MUMCUT and several other coverage criteria for logical decisions", Journal of Systems and Software, 2005, in press.
  29. Spector, A. Z. 1989. Achieving application requirements. In Distributed Systems, S. Mullender
Index Terms

Computer Science
Information Sciences

Keywords

Tracking line segment Matching