A fast algorithm for active contours and curvature estimation
CVGIP: Image Understanding
Motion estimation based tracking of active contours
Pattern Recognition Letters
A Symmetric Patch-Based Correspondence Model for Occlusion Handling
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision - Volume 2
A Contour-Based Moving Object Detection and Tracking
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Accurate contour detection based on snakes for objects with boundary concavities
ICIAR'06 Proceedings of the Third international conference on Image Analysis and Recognition - Volume Part I
Snakes, shapes, and gradient vector flow
IEEE Transactions on Image Processing
Disparity/segmentation analysis: matching with an adaptive window and depth-driven segmentation
IEEE Transactions on Circuits and Systems for Video Technology
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In this paper, we present a robust contour tracking method using a modified snake model in stereo image sequences. The main obstacle preventing typical snake-based methods from converging to boundary concavities with gourd shapes is the lack of sufficient energy near the concavities. Moreover, previous methods suffer drawbacks such as high computation cost and inefficiency with cluttered backgrounds. Our proposed method solves the problem utilizing the binormal vector and disparity information. In addition, we apply an optimization scheme on the number of snake points to better describe the object's boundary, and we apply a region similarity energy to handle cluttered backgrounds. The proposed method can successfully define the contour of the object, and can track the contour in complex backgrounds. Performance of the proposed method has been verified with a set of experiments.