| Contour tracking using weighted structure tensor based variational level set |
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| 作者姓名： | 胡宏伟 马波 曹淑娟 |
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| 作者单位： | Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| 基金项目： | Supported by the National High-Tech Research & Development Program of China (2009AA01Z323) |
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| 摘 要： | A novel contour tracking method using weighted structure tensor based variational level set is proposed in this paper.The image is first converted to weighted structure tensor field by extracting apositive definite symmetric covariance matrix for each pixel.Then,a level set method is employed to represent object contour implicitly which separates the image domain into two areas each modeled by tensor field based Gaussian mixture model separately.By solving agradient flow equation of energy functional with respect to the level set,the object contour will converge to its real profile in the newly arrived frame.Experimental results on several video sequences demonstrate the better performance of our method than the other two contour tracking algorithms.
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| 关 键 词： | contour tracking weighted structure tensor Gaussian mixture model level set |
| 收稿时间： | 2013/2/28 0:00:00 |
Contour tracking using weighted structure tensor based variational level set |
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| HU Hong-wei,MA Bo and CAO Shu-juan.Contour tracking using weighted structure tensor based variational level set[J].Journal of Beijing Institute of Technology,2014,23(2):218-225. |
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| Authors: | HU Hong-wei MA Bo and CAO Shu-juan |
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| Affiliation: | Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China;Beijing Lab of Intelligent Information Technology, School of Computer Science and Technology, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | A novel contour tracking method using weighted structure tensor based variational level set is proposed in this paper. The image is first converted to weighted structure tensor field by extracting a positive definite symmetric covariance matrix for each pixel. Then, a level set method is employed to represent object contour implicitly which separates the image domain into two areas each modeled by tensor field based Gaussian mixture model separately. By solving a gradient flow equation of energy functional with respect to the level set, the object contour will converge to its real profile in the newly arrived frame. Experimental results on several video sequences demonstrate the better performance of our method than the other two contour tracking algorithms. |
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| Keywords: | contour tracking weighted structure tensor Gaussian mixture model level set |
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