Information extraction of the moving objects based on edge detection and optical flow 


Vol. 27,  No. 8, pp. 822-828, Aug.  2002


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  Abstract

Optical flow estimation based on multi constraint approaches is frequently used for recognition of moving objects. However, the use have been confined because of OF estimation time as well as error problem. This paper shows a new method for effectively extracting movement information using the multi-constraint based approaches with sobel edge detection. The moving objects are extracted in the input image sequence using edge detection and segmentation. Edge detection and difference of the two input image sequence gives us the moving objects in the images. The process of thresholding removes the moving objects detected due to noise. After thresholding the real moving objects, we applied the Combinatorial Hough Transform (CHT) and voting accumulation to find the optimal constraint lines for optical flow estimation. The moving objects found in the two consecutive images by using edge detection and segmentation greatly reduces the time for computation of CHT. The voting based CHT avoids the errors associated with least squares methods. Calculation of a large number of points along the constraint line is also avoided by using the transformed slope-intercept parameter domain. The simulation results show that the proposed method is very effective for extracting optical flow vectors and hence recognizing moving objects in the images.

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  Cite this article

[IEEE Style]

M. Chang and J. Park, "Information extraction of the moving objects based on edge detection and optical flow," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 822-828, 2002. DOI: .

[ACM Style]

Min-hyuk Chang and Jong-an Park. 2002. Information extraction of the moving objects based on edge detection and optical flow. The Journal of Korean Institute of Communications and Information Sciences, 27, 8, (2002), 822-828. DOI: .

[KICS Style]

Min-hyuk Chang and Jong-an Park, "Information extraction of the moving objects based on edge detection and optical flow," The Journal of Korean Institute of Communications and Information Sciences, vol. 27, no. 8, pp. 822-828, 8. 2002.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880