3D Video Based Segmentation and Motion Estimation with Active Surface Evolution

Authors:
Shiyan Wang;Huimin Yu;Roland Hu
Affiliations:
Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China;Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China;Department of Information Science and Electronic Engineering, Zhejiang University, Hangzhou, China
Venue:
Journal of Signal Processing Systems
Year:
2013

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Abstract

In this paper, a novel method for three-dimensional (3D) segmentation and motion estimation based on 3D videos provided by TOF cameras is presented. The problem is formulated by a variational statement derived from the maximum a posterior probability (MAP) using 3D Optical Flow Constraint, containing both evolution surface and motion parameters. Therefore, the proposed method allows them to benefit from each other and perform motion segmentation and estimation simultaneously. All the formulation is under the assumption that environmental objects are rigid, and an iterative, PDE-driven level set method is adopted for energy minimization. Various experimental results show the validity of the proposed algorithm.