A corner tracker snake approach to segment irregular object shape in video image, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing

Abstract : In this paper we propose a modified version of the classical explicit snake (active contour) approach for the segmentation of irregular object shape in video images. In the classical approach the external evolution force is computed using the gradient of the image or the region information. In our original proposed method the external force is computed using the region information with two windows around the contour point. This new approach improves the speed of convergence and also the quality of segmentation especially for irregular objects shape(objects with sharp corners, deep concave/convex shape). As the contour points are attracted to the discontinuity of form, the modified snake is called ”corner tracker snake”.
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Communication dans un congrès
IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States. pp 717-720, 2008
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Christian Barat, Benoit Lagadec. A corner tracker snake approach to segment irregular object shape in video image, Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE International Conference on Acoustics, Speech and Signal Processing, Mar 2008, Las Vegas, United States. pp 717-720, 2008. 〈hal-00528309〉

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