A new motion-based segmentation algorithm in image sequences 


Vol. 27,  No. 3, pp. 240-248, Mar.  2002


PDF
  Abstract

This paper presents a new motion-based segmentation algorithm of moving objects in image sequences. The procedure toward complete segmentation consists of two steps: pixel labeling and motion segmentation. In the first step, we assign a label to each pixel according to magnitude of velocity vector. And velocity vector is generated by optical flow. And, in the second step, we have modeled motion field as a markov random field for noise canceling and make a segmentation of motion through energy minimization. We have demonstrated the efficiency of the presented method through experimental results.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

C. Jung and J. Kim, "A new motion-based segmentation algorithm in image sequences," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 240-248, 2002. DOI: .

[ACM Style]

Cheolkon Jung and Joongkyu Kim. 2002. A new motion-based segmentation algorithm in image sequences. The Journal of Korean Institute of Communications and Information Sciences, 27, 3, (2002), 240-248. DOI: .

[KICS Style]

Cheolkon Jung and Joongkyu Kim, "A new motion-based segmentation algorithm in image sequences," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 3, pp. 240-248, 3. 2002.