Advertisement

A Shortest Path Approach for Vibrating Line Detection and Tracking

  • Pedro Carvalho
  • Miguel Pinheiro
  • Jaime S. Cardoso
  • Luís Corte-Real
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6669)

Abstract

This paper describes an approach based on the shortest path method for the detection and tracking of vibrating lines. The detection and tracking of vibrating structures, such as lines and cables, is of great importance in areas such as civil engineering, but the specificities of these scenarios make it a hard problem to tackle. We propose a two-step approach consisting of line detection and subsequent tracking. The automatic detection of the lines avoids manual initialization - a typical problem of these scenarios - and favors tracking. The additional information provided by the line detection enables the improvement of existing algorithms and extends their application to a larger set of scenarios.

Keywords

Computer vision vibrating lines detection tracking 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Bouguet, J.: Pyramidal Implementation of the Lucas Kanade Feature Tracker Description of the algorithm. Microprocessor Research Labs, Intel Corporation (2000)Google Scholar
  2. 2.
    Calçada, R., Cunha, A., Delgado, R.: Analysis of traffic induced vibrations in a cable-stayed bridge. Journal of Bridge Engineering, ASCE 10(4), 370–385 (2005)CrossRefGoogle Scholar
  3. 3.
    Cardoso, J.S., Capela, A., Rebelo, A., Guedes, C., da Costa, J.F.P.: Staff detection with stable paths. IEEE Transactions Pattern Analysis Machine Intelligence 31(6), 1134–1139 (2009)CrossRefGoogle Scholar
  4. 4.
    Cardoso, J., Capela, A., Rebelo, A., Guedes, C.: A connected path approach for staff detection on a music score. In: Proceedings of the International Conference on Image Processing (ICIP 2008), pp. 1005–1008 (2008)Google Scholar
  5. 5.
    Magalhães, F., Caetano, E., Cunha, A.: Operational model analysis and finite element correlation of the braga stadium suspended roof. Engineering Structures 30, 1688–1698 (2008)CrossRefGoogle Scholar
  6. 6.
    Olaszek, P.: Investigation of the dynamic characteristic of bridge structures using a computer vision method. Measurement 25, 227–236 (1999)CrossRefGoogle Scholar
  7. 7.
    Roberts, G., Meng, X., Meo, M., Dodson, A., Cosser, E., Iuliano, E., Morris, A.: A remote bridge health monitoring system using computational simulation and GPS sensor data. In: Proceedings, 11th FIG Symposium on Deformation Measurements (2003)Google Scholar
  8. 8.
    Rodrigo, R., Shi, W., Samarabandu, J.: Energy based line detection. In: Canadian Conference on Electrical and Computer Engineering, pp. 2061–2064 (2006)Google Scholar
  9. 9.
    Silva, S., Bateira, J., Caetano, E.: Development of a vision system for vibration analysis. In: 2nd Int. Conf. on Experimental Vibration Analysis for Civil Engineering Structures (2007)Google Scholar
  10. 10.
    Wahbeh, A., Caffrey, J., Masri, S.: A vision-based approach for the direct measurement of displacements in vibrating systems. Smart Materials and Structures 12(5), 785–794 (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Pedro Carvalho
    • 1
  • Miguel Pinheiro
    • 1
  • Jaime S. Cardoso
    • 1
  • Luís Corte-Real
    • 1
  1. 1.INESC PortoFaculdade de Engenharia da Universidade do Porto, Campus da FEUPPortoPortugal

Personalised recommendations