Abstract
In this paper, the line segment tracking is considered for an imaging system with translational motions (T.M.), rotational motions (R.M.) and arbitrary motions. Assuming a CCD camera with an arbitrary tilt angle installed on a mobile robot equipped with odometry system, to reduce the search space in the correspondence problem, two constraints are developed. These constraints are location and orientation differences (O.D.) for line segments in consecutive images. The findings of this paper include: 1)The development of the effect of camera tilt on the location constraint for T.M., 2)Illustrating that the upper bound of O.D. for both horizontal and vertical lines with respect to the floor, is a function of tilt in T.M., which can considerably be reduced and thus providing a tight constraint, 3)The development of the location constraint for R.M., 4) The development of the PDF and upper bound of O.D. for R.M., 5) The development of the location and O.D. constraint for arbitrary motions. Furthermore, the efficiency of these developed constraints in a line tracking algorithm was verified.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Deriche, R., Faugeras, O.D.: Tracking Line Segments. In: European Conference on Computer Vision, pp. 259-267 (1990)
Chiba, N., Kanade, T.: A Tracker for Broken and Closely Spaced Lines. Systems and Computers in Japan 30(7), 18–26 (1999)
Schmid, C., Zisserman, A.: Automatic Line Matching Across Views. In: Proceedings of CVPR ’97, pp. 666–671 (1997)
Jiang, X., Bunke, H.: Line Segment based Axial Motion Stereo. Pattern Recognition 28(4), 553–562 (1995)
Yip, R.K.K.: A Multi-level Dynamic Programming Method for Line Segment Matching in Axial Motion Stereo. Pattern Recognition 31(11), 1653–1668 (1998)
Bay, H., Ferrari, V., Van Gool, L.: Wide-baseline Stereo Matching with Line Segments. IEEE Computer Vision and Pattern Recognition (CVPR) 1, 329–336 (2005)
Karimian, G., Raie, A., Faez, K.: A New Efficient Stereo Line Segment Matching Algorithm Based on More Effective Usage of the Photometric, Geometric and Structural Information. IEICE Transactions on Information and Systems E89-D(7), 2012–2020 (2006)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer Berlin Heidelberg
About this paper
Cite this paper
Karimian, G., Raie, A., Faez, K. (2007). Geometric Constraints for Line Segment Tracking in Image Sequences. In: Huang, DS., Heutte, L., Loog, M. (eds) Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues. ICIC 2007. Lecture Notes in Computer Science, vol 4681. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74171-8_117
Download citation
DOI: https://doi.org/10.1007/978-3-540-74171-8_117
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74170-1
Online ISBN: 978-3-540-74171-8
eBook Packages: Computer ScienceComputer Science (R0)