Convex relaxation for a 3D spatiotemporal segmentation model using the primal-dual method |
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Authors: | Shi-yan WANG Hui-min YU |
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Affiliation: | (Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou 310027, China) |
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Abstract: | A method based on 3D videos is proposed for multi-target segmentation and tracking with a moving viewing system. A spatiotemporal energy functional is built up to perform motion segmentation and estimation simultaneously. To overcome the limitation of the local minimum problem with the level set method, a convex relaxation method is applied to the 3D spatiotemporal segmentation model. The relaxed convex model is independent of the initial condition. A primal-dual algorithm is used to improve computational efficiency. Several indoor experiments show the validity of the proposed method. |
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Keywords: | 3D spatiotemporal segmentation Motion estimation Total variation Primal-dual |
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