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- W2588865837 abstract "A variational framework to perform tracking with a moving 3D camera is presented in this paper. The key idea is to formulate the problem as a maximum a posterior motion-based segmentation model in the spatiotemporal domain. The model is solved by evolving the spatiotemporal surface and estimating the camera-induced motion parameters simultaneously. Unlike many methods that handle surface evolution by Level Set Method (LSM), the 3D tracking model is relaxed to a convex one to guarantee a global solution, avoiding the drawback in LSM that consists of local minima problem and initializing/re-initializing the distance function. Furthermore, for higher computation efficiency, the proposed model is solved by Split Bregman method. Several indoor experiments demonstrate the validity of the proposed method." @default.
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- W2588865837 date "2016-10-01" @default.
- W2588865837 modified "2023-09-27" @default.
- W2588865837 title "Spatiotemporal tracking model based on 3D videos via Split Bregman algorithm" @default.
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- W2588865837 doi "https://doi.org/10.1109/cisp-bmei.2016.7852679" @default.
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