Improving the Optical Flow Accuracy Based on the Total Variation of Local-Global method

被引:0
|
作者
Zhang, Yugui [1 ]
Fan, Haonan [1 ]
Zheng, Jin [1 ]
Zhang, Chi [1 ]
机构
[1] Beihang Univ, Beijing Key Lab Digital Media, Beijing 100191, Peoples R China
来源
2018 IEEE INTERNATIONAL CONFERENCE ON BIG DATA (BIG DATA) | 2018年
基金
中国国家自然科学基金;
关键词
Optical flow estimation; Total variation; Combined local-global; Median filtering; SEGMENTATION; FIELDS;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The aim of this paper is to improve the optical flow accuracy for the preservation of flow discontinuities in total variation method. The proposed method is based on the total variation of the local-global method, including the following steps: firstly, the initial optical flow is obtained from the local-global method; secondly, the data item and the smoothing item are designed based on initial optical flow by using the total variation, with the data item involving the brightness constancy and the gradient constancy, and the smoothing item involving exponential function; and finally, the optical flow results from the second step are optimized by using median filtering. The experimental results show that our proposed method could enhance the accuracy and robustness of the optical flow on the Middlebury Dataset and the MPI Sintel Dataset.
引用
收藏
页码:4658 / 4664
页数:7
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