Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation

Pubudu N. Pathirana, A. E K Lim, John Carminati, Malin Premaratne

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

15 Citations (Scopus)

Abstract

Differential optical flow methods are widely used within the computer vision community. They are classified as being either local, as in the Lucas-Kanade method, or global, as in the Horn-Schunck technique. As the physical dynamics of an object is inherently coupled into the behavior of its image in the video stream, in this paper, we use such dynamic parameter information in calculating optical flow when tracking a moving object using a video stream. Indeed, we use a modified error function in the minimization that contains physical parameter information. Further, the refined estimates of optical flow is used for better estimation of the physical parameters of the object in the Simultaneous Estimation of Optical flow and object State(SEOS).

Original languageEnglish
Title of host publication2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
Pages634-638
Number of pages5
DOIs
Publication statusPublished - 2007
Event2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07 - London, United Kingdom
Duration: 15 Apr 200717 Apr 2007

Conference

Conference2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07
CountryUnited Kingdom
CityLondon
Period15/04/0717/04/07

Keywords

  • Optical flow
  • State estimation

Cite this

Pathirana, P. N., Lim, A. E. K., Carminati, J., & Premaratne, M. (2007). Simultaneous estimation of optical flow and object state: A modified approach to optical flow calculation. In 2007 IEEE International Conference on Networking, Sensing and Control, ICNSC'07 (pp. 634-638). [4239066] https://doi.org/10.1109/ICNSC.2007.372853