Contour Extraction of Moving Objects in Color Image Sequences

Liu Yang; Li Yu-shan; Zhang Da-pu

Volume 28 Issue 9

Sep. 2010

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Article Navigation > Journal of Electronics & Information Technology > 2006 > 28(9): 1550-1554

Wen Xinhui, Niu Mingji . THE ABS LEARNING ALGORITHM FOR RADIAL BASIS FUNCTIONAL NETWORK[J]. Journal of Electronics & Information Technology, 1996, 18(6): 601-606.

Citation:

Liu Yang, Li Yu-shan, Zhang Da-pu. Contour Extraction of Moving Objects in Color Image Sequences[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1550-1554.

Wen Xinhui, Niu Mingji . THE ABS LEARNING ALGORITHM FOR RADIAL BASIS FUNCTIONAL NETWORK[J]. Journal of Electronics & Information Technology, 1996, 18(6): 601-606.

Citation:

Liu Yang, Li Yu-shan, Zhang Da-pu. Contour Extraction of Moving Objects in Color Image Sequences[J]. Journal of Electronics & Information Technology, 2006, 28(9): 1550-1554.

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Contour Extraction of Moving Objects in Color Image Sequences

Received Date: 2004-12-27
Rev Recd Date: 2005-11-14
Publish Date: 2006-09-19

Abstract

Abstract

A new algorithm to extract accurate contours of multiple moving objects is proposed in this paper. The main contributions of this paper include two parts: firstly, exponential filter is used to calculate the gradient magnitude of color image and the localization accuracy of local maximum of gradient in color image is increased, the gradient magnitude and the motion edges are used subsequently in contour iteration to prevent the contour from shrinking successfully; secondly, the directions of contour are used to prevent the active contour from expanding effectively. As a result, the real compact contours would be extracted automatically by using this algorithm. The experiments show the high efficiency of this algorithm for contours extraction of moving objects from color image sequence with complex background.

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References(1)

References

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