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基于全变分的运动分割模型及分裂Bregman算法

王诗言 于慧敏

自动化学报Issue(2):396-404,9.
自动化学报Issue(2):396-404,9.DOI:10.16383/j.aas.2015.c140255

基于全变分的运动分割模型及分裂Bregman算法

Motion Segmentation Model Based on Total Variation and Split Bregman Algorithm

王诗言 1于慧敏2

作者信息

  • 1. 重庆邮电大学 重庆 400065
  • 2. 浙江大学信息与电子工程学系 杭州 310027
  • 折叠

摘要

Abstract

A general motion segmentation model for 2D/3D videos based on total variation is presented in this paper. Firstly, a spatiotemporal energy functional based on active contour model is established to perform motion segmentation and estimation simultaneously. Secondly, a convex optimization technique is introduced to convert the original energy functional into a global convex functional based on total variation, which overcomes the local minimum problem. Finally, the Split Bregman algorithm is applied to solve the segmentation surface. Various experiments indicates the universality for both 2D and 3D videos, and demonstrates the feasibility and effectiveness of the proposed algorithm.

关键词

运动分割/运动估计/全变分/分裂Bregman算法

Key words

Motion segmentation/motion estimation/total variation/split Bregman algorithm

引用本文复制引用

王诗言,于慧敏..基于全变分的运动分割模型及分裂Bregman算法[J].自动化学报,2015,(2):396-404,9.

基金项目

国家重大科技专项(2014ZX03001027),国家重点基础研究发展计划(973计划)(2012CB316400),重庆邮电大学博士启动基金(A2014-09)资助@@@@Supported by National Science and Technology Major Project (2014ZX03001027), National Basic Research Program of China (973 Program)(2012CB316400), and Ph. D. Foundation of Chongqing University of Posts and Telecommunications (A2014-09) (2014ZX03001027)

自动化学报

OA北大核心CSCDCSTPCD

0254-4156

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