A duality based approach for realtime TV-L1 optical flow

被引:1199
作者
Zach, C. [1 ]
Pock, T. [1 ]
Bischof, H. [1 ]
机构
[1] Graz Univ Technol, Inst Comp Graph & Vis, Graz, Austria
来源
PATTERN RECOGNITION, PROCEEDINGS | 2007年 / 4713卷
关键词
D O I
10.1007/978-3-540-74936-3_22
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Variational methods are among the most successful approaches to calculate the optical flow between two image frames. A particularly appealing formulation is based on total variation (TV) regularization and the robust L-1 norm in the data fidelity term. This formulation can preserve discontinuities in the flow field and offers an increased robustness against illumination changes, occlusions and noise. In this work we present a novel approach to solve the TV-L-1 formulation. Our method results in a very efficient numerical scheme, which is based on a dual formulation of the TV energy and employs an efficient point-wise thresholding step. Additionally, our approach can be accelerated by modern graphics processing units. We demonstrate the real-time performance (30 fps) of our approach for video inputs at a resolution of 320 x 240 pixels.
引用
收藏
页码:214 / +
页数:2
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